diff --git a/datasets/Daymet_V4_Daily_MonthlyLatency_1904.v1.json b/datasets/Daymet_V4_Daily_MonthlyLatency_1904.v1.json
new file mode 100644
index 000000000..74d8610e7
--- /dev/null
+++ b/datasets/Daymet_V4_Daily_MonthlyLatency_1904.v1.json
@@ -0,0 +1,83 @@
+{
+ "type": "Collection",
+ "id": "Daymet_V4_Daily_MonthlyLatency_1904.v1",
+ "stac_version": "1.0.0",
+ "description": "This dataset provides Daymet Version 4 daily data on a monthly cycle as 1-km gridded estimates of daily weather variables for minimum temperature (tmin), maximum temperature (tmax), precipitation (prcp), shortwave radiation (srad), vapor pressure (vp), snow water equivalent (swe), and day length. Data are derived from the Daymet version 4 software where the primary inputs are daily observations of near-surface maximum and minimum air temperature and daily total precipitation from weather stations. The main algorithm to estimate primary Daymet variables (tmax, tmin, and prcp) at each Daymet grid is based on a combination of interpolation and extrapolation, using inputs from multiple weather stations and weights that reflect the spatial and temporal relationships between a Daymet grid and the surrounding weather stations. Secondary variables (srad, vp, and swe) are derived from the primary variables (tmax, tmin, and prcp) based on atmospheric theory and empirical relationships. The day length (dayl) estimate is based on geographic location and time of year. Data are available for the Continental North America, Puerto Rico, and Hawaii as separate spatial layers in a Lambert Conformal Conic projection and are distributed in standardized Climate and Forecast (CF)-compliant netCDF file formats.",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Daymet_V4_Daily_MonthlyLatency_1904.v1/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2060950385-ORNL_DAAC.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2060950385-ORNL_DAAC.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Daymet_V4_Daily_MonthlyLatency_1904.v1/2021",
+ "type": "application/json",
+ "title": "2021 catalog"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Daymet_V4_Daily_MonthlyLatency_1904.v1/2022",
+ "type": "application/json",
+ "title": "2022 catalog"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Daymet_V4_Daily_MonthlyLatency_1904.v1/2023",
+ "type": "application/json",
+ "title": "2023 catalog"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Daymet_V4_Daily_MonthlyLatency_1904.v1",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC",
+ "type": "application/json",
+ "title": "ORNL_DAAC"
+ }
+ ],
+ "title": "Daymet Version 4 Monthly Latency: Daily Surface Weather Data",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -178.13,
+ 14.07,
+ -53.06,
+ 83.2
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "2021-01-01T00:00:00Z",
+ "2023-03-31T23:59:59Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/datasets/FIFE_NOAA_SUR_58.v1.json b/datasets/FIFE_NOAA_SUR_58.v1.json
new file mode 100644
index 000000000..292408858
--- /dev/null
+++ b/datasets/FIFE_NOAA_SUR_58.v1.json
@@ -0,0 +1,89 @@
+{
+ "type": "Collection",
+ "id": "FIFE_NOAA_SUR_58.v1",
+ "stac_version": "1.0.0",
+ "description": "Hourly surface weather reports collected by NESDIS for stations near FIFE",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_NOAA_SUR_58.v1/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C179002772-ORNL_DAAC.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C179002772-ORNL_DAAC.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_NOAA_SUR_58.v1/1985",
+ "type": "application/json",
+ "title": "1985 catalog"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_NOAA_SUR_58.v1/1986",
+ "type": "application/json",
+ "title": "1986 catalog"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_NOAA_SUR_58.v1/1987",
+ "type": "application/json",
+ "title": "1987 catalog"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_NOAA_SUR_58.v1/1988",
+ "type": "application/json",
+ "title": "1988 catalog"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_NOAA_SUR_58.v1",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC",
+ "type": "application/json",
+ "title": "ORNL_DAAC"
+ }
+ ],
+ "title": "NOAA Regional Surface Data (FIFE)",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -97,
+ 39,
+ -95,
+ 40
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "1985-07-02T00:00:00Z",
+ "1988-10-23T23:59:59Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/datasets/FIFE_WIND_LID_138.v1.json b/datasets/FIFE_WIND_LID_138.v1.json
new file mode 100644
index 000000000..014945c0b
--- /dev/null
+++ b/datasets/FIFE_WIND_LID_138.v1.json
@@ -0,0 +1,65 @@
+{
+ "type": "Collection",
+ "id": "FIFE_WIND_LID_138.v1",
+ "stac_version": "1.0.0",
+ "description": "Wind profile data from NOAA LIDAR measurements",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_WIND_LID_138.v1/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C179003279-ORNL_DAAC.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C179003279-ORNL_DAAC.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_WIND_LID_138.v1",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC",
+ "type": "application/json",
+ "title": "ORNL_DAAC"
+ }
+ ],
+ "title": "Wind Profile Data: LIDAR - NOAA (FIFE)",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -96.54,
+ 39.07,
+ -96.54,
+ 39.07
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "1987-06-24T00:00:00Z",
+ "1987-07-11T23:59:59Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/datasets/Forested_Areas_Amazonas_Brazil_1515.v1.json b/datasets/Forested_Areas_Amazonas_Brazil_1515.v1.json
new file mode 100644
index 000000000..a67d1f5fd
--- /dev/null
+++ b/datasets/Forested_Areas_Amazonas_Brazil_1515.v1.json
@@ -0,0 +1,71 @@
+{
+ "type": "Collection",
+ "id": "Forested_Areas_Amazonas_Brazil_1515.v1",
+ "stac_version": "1.0.0",
+ "description": "This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the K34 tower site in the Cuieiras Biological Reserve, over forest inventory plots in the Adolpho Ducke Forest Reserve, and over sites of the Biological Dynamics of Forest Fragments Project (BDFFP) in Rio Preto da Eva municipality near Manaus, Amazonas, Brazil during June 2008. The surveys encompass the K34 eddy flux tower managed through the Large-scale Biosphere-Atmosphere Experiment in Amazonia, forest inventory plots managed by the Programa de Pesquisa em Biodiversidade (PPBio), and sites managed by the BDFFP. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Forested_Areas_Amazonas_Brazil_1515.v1/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C1413152023-ORNL_DAAC.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C1413152023-ORNL_DAAC.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Forested_Areas_Amazonas_Brazil_1515.v1/2008",
+ "type": "application/json",
+ "title": "2008 catalog"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Forested_Areas_Amazonas_Brazil_1515.v1",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC",
+ "type": "application/json",
+ "title": "ORNL_DAAC"
+ }
+ ],
+ "title": "LiDAR and DTM Data from Forested Land Near Manaus, Amazonas, Brazil, 2008",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -60.22,
+ -2.98,
+ -59.76,
+ -2.32
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "2008-06-07T00:00:00Z",
+ "2008-06-24T23:59:59Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/datasets/Forested_Areas_Para_Brazil_1514.v1.json b/datasets/Forested_Areas_Para_Brazil_1514.v1.json
new file mode 100644
index 000000000..1fb8902ff
--- /dev/null
+++ b/datasets/Forested_Areas_Para_Brazil_1514.v1.json
@@ -0,0 +1,71 @@
+{
+ "type": "Collection",
+ "id": "Forested_Areas_Para_Brazil_1514.v1",
+ "stac_version": "1.0.0",
+ "description": "This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the Tapajos National Forest in Belterra municipality, Para, Brazil during late June and early July 2008. The surveys encompass the K67 and K83 eddy flux towers and a deforestation chronosequence managed through the Large-Scale Biosphere-Atmosphere Experiment in Amazonia providing long-term flux measurements of carbon dioxide. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Forested_Areas_Para_Brazil_1514.v1/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C1413152020-ORNL_DAAC.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C1413152020-ORNL_DAAC.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Forested_Areas_Para_Brazil_1514.v1/2008",
+ "type": "application/json",
+ "title": "2008 catalog"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Forested_Areas_Para_Brazil_1514.v1",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC",
+ "type": "application/json",
+ "title": "ORNL_DAAC"
+ }
+ ],
+ "title": "LiDAR and DTM Data from Tapajos National Forest in Para, Brazil, 2008",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -54.98,
+ -3.06,
+ -54.94,
+ -2.85
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "2008-06-25T00:00:00Z",
+ "2008-07-04T23:59:59Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/datasets/MASTER_HyspIRI_Summer_2017_1950.v1.json b/datasets/MASTER_HyspIRI_Summer_2017_1950.v1.json
new file mode 100644
index 000000000..4e2470044
--- /dev/null
+++ b/datasets/MASTER_HyspIRI_Summer_2017_1950.v1.json
@@ -0,0 +1,71 @@
+{
+ "type": "Collection",
+ "id": "MASTER_HyspIRI_Summer_2017_1950.v1",
+ "stac_version": "1.0.0",
+ "description": "This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Hyperspectral Infrared Imager (HyspIRI) airborne campaign during 9 flights aboard a NASA ER-2 aircraft over southern California and western Nevada, U.S., from 2017-06-07 to 2017-06-28. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_HyspIRI_Summer_2017_1950.v1/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2275434743-ORNL_DAAC.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2275434743-ORNL_DAAC.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_HyspIRI_Summer_2017_1950.v1/2017",
+ "type": "application/json",
+ "title": "2017 catalog"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_HyspIRI_Summer_2017_1950.v1",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC",
+ "type": "application/json",
+ "title": "ORNL_DAAC"
+ }
+ ],
+ "title": "MASTER: HyspIRI Airborne Campaign, California, Summer 2017",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -123.75,
+ 31.95,
+ -112.5,
+ 40.98
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "2017-06-07T17:51:32Z",
+ "2017-06-28T21:45:55Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/datasets/MASTER_SARP_2016_1912.v1.2.json b/datasets/MASTER_SARP_2016_1912.v1.2.json
new file mode 100644
index 000000000..1cff503e4
--- /dev/null
+++ b/datasets/MASTER_SARP_2016_1912.v1.2.json
@@ -0,0 +1,71 @@
+{
+ "type": "Collection",
+ "id": "MASTER_SARP_2016_1912.v1.2",
+ "stac_version": "1.0.0",
+ "description": "This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument collected and developed by the Student Airborne Research Program (SARP). The spectral data were collected from flights flown on 2016-06-17 in a NASA ER-2 aircraft over Santa Barbara, California. SARP was an eight-week summer program for junior and senior undergraduate students to acquire hands-on research experience in all aspects of a scientific campaign using airborne science laboratories. The SARP 2016 deployment included one flight with 5 flight tracks. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_SARP_2016_1912.v1.2/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2096395033-ORNL_DAAC.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2096395033-ORNL_DAAC.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_SARP_2016_1912.v1.2/2016",
+ "type": "application/json",
+ "title": "2016 catalog"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_SARP_2016_1912.v1.2",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC",
+ "type": "application/json",
+ "title": "ORNL_DAAC"
+ }
+ ],
+ "title": "MASTER: Student Airborne Research Program (SARP) campaign, California, USA, 2016",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -120.88,
+ 33.56,
+ -118.33,
+ 35.85
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "2016-06-17T17:28:25Z",
+ "2016-06-18T00:04:26Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/datasets/MASTER_SARP_2018_1946.v1.json b/datasets/MASTER_SARP_2018_1946.v1.json
new file mode 100644
index 000000000..ab29e3b5c
--- /dev/null
+++ b/datasets/MASTER_SARP_2018_1946.v1.json
@@ -0,0 +1,71 @@
+{
+ "type": "Collection",
+ "id": "MASTER_SARP_2018_1946.v1",
+ "stac_version": "1.0.0",
+ "description": "This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument collected and developed by the Student Airborne Research Program (SARP). The spectral data were collected from flights flown on 2018-06-20 to 2018-06-28 over the Channel Islands and coastline near Santa Barbara, California, U.S., in a NASA ER-2 aircraft. SARP was an eight-week summer program for junior and senior undergraduate students to acquire hands-on research experience in all aspects of a scientific campaign using airborne science laboratories. The SARP 2018 deployment included two flights with 13 flight tracks. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution, and the L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_SARP_2018_1946.v1/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2275424125-ORNL_DAAC.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2275424125-ORNL_DAAC.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_SARP_2018_1946.v1/2018",
+ "type": "application/json",
+ "title": "2018 catalog"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_SARP_2018_1946.v1",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC",
+ "type": "application/json",
+ "title": "ORNL_DAAC"
+ }
+ ],
+ "title": "MASTER: Student Airborne Research Program (SARP) campaign, California, 2018",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -120.48,
+ 33.75,
+ -118.85,
+ 34.87
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "2018-06-20T19:17:52Z",
+ "2018-06-28T00:26:42Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/datasets/fife_hydrology_strm_15m_1.v1.json b/datasets/fife_hydrology_strm_15m_1.v1.json
new file mode 100644
index 000000000..bd9434825
--- /dev/null
+++ b/datasets/fife_hydrology_strm_15m_1.v1.json
@@ -0,0 +1,95 @@
+{
+ "type": "Collection",
+ "id": "fife_hydrology_strm_15m_1.v1",
+ "stac_version": "1.0.0",
+ "description": "USGS 15 minute stream flow data for Kings Creek on the Konza Prairie",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_hydrology_strm_15m_1.v1/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2977827088-ORNL_CLOUD.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2977827088-ORNL_CLOUD.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_hydrology_strm_15m_1.v1/1984",
+ "type": "application/json",
+ "title": "1984 catalog"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_hydrology_strm_15m_1.v1/1985",
+ "type": "application/json",
+ "title": "1985 catalog"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_hydrology_strm_15m_1.v1/1986",
+ "type": "application/json",
+ "title": "1986 catalog"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_hydrology_strm_15m_1.v1/1987",
+ "type": "application/json",
+ "title": "1987 catalog"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_hydrology_strm_15m_1.v1/1988",
+ "type": "application/json",
+ "title": "1988 catalog"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_hydrology_strm_15m_1.v1",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD",
+ "type": "application/json",
+ "title": "ORNL_CLOUD"
+ }
+ ],
+ "title": "15 Minute Stream Flow Data: USGS (FIFE)",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -96.6,
+ 39.1,
+ -96.6,
+ 39.1
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "1984-12-25T00:00:00Z",
+ "1988-03-04T23:59:59Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/datasets/fife_sur_met_rain_30m_2.v1.json b/datasets/fife_sur_met_rain_30m_2.v1.json
new file mode 100644
index 000000000..bb473ef25
--- /dev/null
+++ b/datasets/fife_sur_met_rain_30m_2.v1.json
@@ -0,0 +1,71 @@
+{
+ "type": "Collection",
+ "id": "fife_sur_met_rain_30m_2.v1",
+ "stac_version": "1.0.0",
+ "description": "30 minute rainfall data for the Konza Prairie",
+ "links": [
+ {
+ "rel": "root",
+ "href": "https://cmr.earthdata.nasa.gov/stac/",
+ "type": "application/json",
+ "title": "NASA CMR STAC Proxy"
+ },
+ {
+ "rel": "items",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_sur_met_rain_30m_2.v1/items",
+ "type": "application/json",
+ "title": "Granules in this collection"
+ },
+ {
+ "rel": "about",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2977893818-ORNL_CLOUD.html",
+ "type": "text/html",
+ "title": "HTML metadata for collection"
+ },
+ {
+ "rel": "via",
+ "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2977893818-ORNL_CLOUD.json",
+ "type": "application/json",
+ "title": "CMR JSON metadata for collection"
+ },
+ {
+ "rel": "child",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_sur_met_rain_30m_2.v1/1987",
+ "type": "application/json",
+ "title": "1987 catalog"
+ },
+ {
+ "rel": "self",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_sur_met_rain_30m_2.v1",
+ "type": "application/json"
+ },
+ {
+ "rel": "parent",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD",
+ "type": "application/json",
+ "title": "ORNL_CLOUD"
+ }
+ ],
+ "title": "30 Minute Rainfall Data (FIFE)",
+ "extent": {
+ "spatial": {
+ "bbox": [
+ [
+ -96.6,
+ 39.08,
+ -96.55,
+ 39.11
+ ]
+ ]
+ },
+ "temporal": {
+ "interval": [
+ [
+ "1987-05-29T00:00:00Z",
+ "1987-10-26T23:59:59Z"
+ ]
+ ]
+ }
+ },
+ "license": "not-provided"
+}
\ No newline at end of file
diff --git a/nasa_cmr_catalog.json b/nasa_cmr_catalog.json
index 035c943ec..8a1dfa619 100644
--- a/nasa_cmr_catalog.json
+++ b/nasa_cmr_catalog.json
@@ -1,4 +1,30 @@
[
+ {
+ "id": "0f4324af-fa0a-4aaf-9b97-89a4f3325ce1",
+ "title": "DESIS - Hyperspectral Images - Global",
+ "catalog": "FEDEO",
+ "state_date": "2018-08-30",
+ "end_date": "",
+ "bbox": "-180, -52, 180, 52",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458058-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458058-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/0f4324af-fa0a-4aaf-9b97-89a4f3325ce1",
+ "description": "The hyperspectral instrument DESIS (DLR Earth Sensing Imaging Spectrometer) is one of four possible payloads of MUSES (Multi-User System for Earth Sensing), which is mounted on the International Space Station (ISS). DLR developed and delivered a Visual/Near-Infrared Imaging Spectrometer to Teledyne Brown Engineering, which was responsible for integrating the instrument. Teledyne Brown designed and constructed, integrated and tested the platform before delivered to NASA. Teledyne Brown collaborates with DLR in several areas, including basic and applied research for use of data. DESIS is operated in the wavelength range from visible through the near infrared and enables precise data acquisition from Earth's surface for applications including fire-detection, change detection, maritime domain awareness, and atmospheric research. Three product types can be ordered, which are Level 1B (systematic and radiometric corrected), Level 1C (geometrically corrected) and Level 2A (atmospherically corrected). The spatial resolution is about 30m on ground. DESIS is sensitive between 400nm and 1000nm with a spectral resolution of about 3.3nm. DESIS data are delivered in tiles of about 30x30km. For more information concerning DESIS the reader is referred to https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-13614/",
+ "license": "not-provided"
+ },
+ {
+ "id": "11c5f6df1abc41968d0b28fe36393c9d",
+ "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from MERIS (ALAMO algorithm), Version 2.2",
+ "catalog": "FEDEO",
+ "state_date": "2008-01-01",
+ "end_date": "2008-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143004-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548143004-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/11c5f6df1abc41968d0b28fe36393c9d",
+ "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 3 aerosol daily and monthly gridded products from MERIS for 2008, using the ALAMO algorithm, version 2.2. The data have been provided by Hygeos.For further details about these data products please see the linked documentation.",
+ "license": "not-provided"
+ },
{
"id": "12-hourly_interpolated_surface_position_from_buoys",
"title": "12-Hourly Interpolated Surface Position from Buoys",
@@ -64,6 +90,19 @@
"description": "We collected surface seawater samples using trace clean 1L Nalgene bottles on the end of a long bamboo pole. We will analyse these samples for trace elements. Iron is the element of highest interest to our group. We will determine dissolved iron and total dissolvable iron concentrations. Samples collected from 7 sites: Sites 1, 2, 3, 4 were a transect perpendicular to the edge of the iceberg to try and determine if there is a iron concentration gradient relative to the iceberg. Sites 4, 5, 6 were along the edge of the iceberg to determine if there is any spatial variability along the iceberg edge. Site 7 was away from the iceberg to determine what the iron concentration is in the surrounding waters not influenced by the iceberg.",
"license": "not-provided"
},
+ {
+ "id": "2019 Mali CropType Training Data.v1",
+ "title": "2019 Mali CropType Training Data",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "-6.9444015, 12.8185552, -6.5890481, 13.3734391",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412344-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412344-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/2019 Mali CropType Training Data.v1",
+ "description": " This dataset produced by the NASA Harvest team includes crop types labels from ground referencing matched with time-series of Sentinel-2 imagery during the growing season. Ground reference data are collected using an ODK app. Crop types include Maize, Millet, Rice and Sorghum. Labels are vectorized over the Sentinel-2 grid, and provided as raster files. Funding for this dataset is provided by Lutheran World Relief, Bill & Melinda Gates Foundation, and University of Maryland NASA Harvest program.",
+ "license": "not-provided"
+ },
{
"id": "39480",
"title": "1988 Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve",
@@ -220,6 +259,97 @@
"description": "INSAT-3D Imager Level-2B Outgoing Longwave Radation (OLR) in HDF-5 Format",
"license": "not-provided"
},
+ {
+ "id": "3fe263d2-99ed-4751-b937-d26a31ab0606",
+ "title": "AVHRR - Vegetation Index (NDVI) - Europe",
+ "catalog": "FEDEO",
+ "state_date": "1994-07-01",
+ "end_date": "",
+ "bbox": "-24, 28, 57, 78",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458021-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458021-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/3fe263d2-99ed-4751-b937-d26a31ab0606",
+ "description": "Every day, three successive NOAA-AVHRR scenes are used to derive a synthesis product in stereographic projection known as the \"Normalized Difference Vegetation Index\" for Europe and North Africa. It is calculated by dividing the difference in technical albedos between measurements in the near infrared and visible red part of the spectrum by the sum of both measurements. This value provides important information about the \"greenness\" and density of vegetation. Weekly and monthly thematic synthesis products are also derived from this daily operational product, at each step becoming successively free of clouds. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/",
+ "license": "not-provided"
+ },
+ {
+ "id": "7ae5a791-b667-4838-9733-a44e4cf2d715",
+ "title": "Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Stereographic",
+ "catalog": "FEDEO",
+ "state_date": "2007-01-05",
+ "end_date": "",
+ "bbox": "-25, 30, 45, 80",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458042-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458042-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/7ae5a791-b667-4838-9733-a44e4cf2d715",
+ "description": "Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing.",
+ "license": "not-provided"
+ },
+ {
+ "id": "802569b8-fb56-4d78-a2e8-3e4549ff475b",
+ "title": "AVHRR - Sea Surface Temperature (SST) - Europe",
+ "catalog": "FEDEO",
+ "state_date": "1994-08-01",
+ "end_date": "",
+ "bbox": "-35, 47.5, 51, 73",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458053-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458053-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/802569b8-fb56-4d78-a2e8-3e4549ff475b",
+ "description": "The AVHRR Mulitchannel Sea Surface Temperature Map (MCSST) was the first result of DLR's AVHRR pathfinder activities. The goal of the product is to provide the user with actual Sea Surface Temperature (SST) maps in a defined format easy to access with the highest possible reliability on the thematic quality. After a phase of definition, the operational production chain was launched in March 1993 covering the entire Mediterranean Sea and the Black Sea. Since then, daily, weekly, and monthly data sets have been available until September 13, 1994, when the AVHRR on board the NOAA-11 spacecraft failed. The production of daily, weekly and monthly SST maps was resumed in February, 1995, based on NOAA-14 AVHRR data. The NOAA-14 AVHRR sensor became some technical difficulties, so the generation was stopped on October 3, 2001. Since March 2002, NOAA-16 AVHRR SST maps are available again. With the beginning of January 2004, the data of AVHRR on board of NOAA-16 exhibited some anormal features showing strips in the scenes. Facing the \u201cbar coded\u201d images of NOAA16-AVHRR which occurred first in September 2003, continued in January 2004 for the second time and appeared in April 2004 again, DFD has decided to stop the reception of NOAA16 data on April 6th, 2004, and to start the reception of NOAA-17 data on this day. On April 7th, 2004, the production of all former NOAA16-AVHRR products as e.g. the SST composites was successully established. NOAA-17 is an AM sensor which passes central Europe about 2 hours earlier than NOAA-16 (about 10:00 UTC instead of 12:00 UTC for NOAA-16). In spring 2007, the communication system of NOAA-17 has degraded or is operating with limitations. Therefore, DFD has decided to shift the production of higher level products (NDVI, LST and SST) from NOAA-17 to NOAA-18 in April 2007. In order to test the performance of our processing chains, we processed simultaneously all NOAA-17 and NOAA-18 data from January 1st, 2007 till March 29th, 2007. All products are be available via EOWEB. Please remember that NOAA-18 is a PM sensor which passes central Europe about 1.5 hours later than NOAA-17 (about 11:30 UTC instead of 10:00 UTC for NOAA17). The SST product is intended for climate modelers, oceanographers, and all geo science-related disciplines dealing with ocean surface parameters. In addition, SST maps covering the North Atlantic, the Baltic Sea, the North Sea and the Western Atlantic equivalent to the Mediterranean MCSST maps are available since August 1994. The most important aspects of the MCSST maps are a) correct image registration and b) reasonable cloud screening to ensure that only cloud free pixels are taken for the later processing and compositing c) for deriving MCSST, only channel 4 and 5 are used.. The SST product consists of one 8 bit channel. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/",
+ "license": "not-provided"
+ },
+ {
+ "id": "936b319d-5253-425d-bd29-4b6ebce067ff",
+ "title": "AVHRR - Land Surface Temperature (LST) - Europe, Nighttime",
+ "catalog": "FEDEO",
+ "state_date": "1998-02-23",
+ "end_date": "",
+ "bbox": "-24, 28, 57, 78",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458046-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458046-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/936b319d-5253-425d-bd29-4b6ebce067ff",
+ "description": "The \"Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)\" is a fixed grid map (in stereographic projection) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between \u201339.5\u00b0C and +87\u00b0C with a radiometric resolution of 0.5\u00b0C. A value of \u201340\u00b0C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/",
+ "license": "not-provided"
+ },
+ {
+ "id": "A Fusion Dataset for Crop Type Classification in Germany.v1",
+ "title": "A Fusion Dataset for Crop Type Classification in Germany",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "13.6339485, 52.4179888, 14.3529903, 52.8494418",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412484-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412484-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/A Fusion Dataset for Crop Type Classification in Germany.v1",
+ "description": " This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Brandenburg, Germany. There are nine crop types in this dataset from years 2018 and 2019: Wheat, Rye, Barley, Oats, Corn, Oil Seeds, Root Crops, Meadows, Forage Crops. The 2018 labels from one of the tiles are provided for training, and the 2019 labels from a neighboring tile will be used for scoring in the competition. Input imagery consist of time series of Sentinel-2, Sentinel-1 and Planet Fusion (daily and 5-day composite) data. You can access each source from a different collection. The Planet fusion data are made available under a CC-BY-SA license. As an exception to the AI4EO Terms and Conditions published on the competition website, you confirm, by participating in it, that you agree that your results will be made public under the same, open-source license. ",
+ "license": "not-provided"
+ },
+ {
+ "id": "A Fusion Dataset for Crop Type Classification in Western Cape, South Africa.v1",
+ "title": "A Fusion Dataset for Crop Type Classification in Western Cape, South Africa",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "20.5212157, -34.413256, 21.043415, -33.9796334",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412697-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412697-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/A Fusion Dataset for Crop Type Classification in Western Cape, South Africa.v1",
+ "description": " This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Western Cape, South Africa. There are five crop types from the year 2017: Wheat, Barely, Canola, Lucerne/Medics, Small grain grazing. The AOI is split to three tiles. Two tiles are provided as training labels, and one tile will be used for scoring in the competition. Input imagery consist of time series of Sentinel-2, Sentinel-1 and Planet Fusion (daily and 5-day composite) data. You can access each source from a different collection. The Planet fusion data are made available under a CC-BY-SA license. As an exception to the AI4EO Terms and Conditions published on the competition website, you confirm, by participating in it, that you agree that your results will be made public under the same, open-source license. The Western Cape Department of Agriculture (WCDoA) vector data are supplied via Radiant Earth Foundation with limited distribution rights. Data supplied by the WCDoA may not be distributed further or used for commercial purposes. The vector data supplied are intended strictly for use within the scope of this remote sensing competition - for the purpose of academic research to our mutual benefit. The data is intended for research purposes only and the WCDoA cannot be held responsible for any errors or omissions which may occur in the data. ",
+ "license": "not-provided"
+ },
+ {
+ "id": "A crop type dataset for consistent land cover classification in Central Asia.v1",
+ "title": "A crop type dataset for consistent land cover classification in Central Asia",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "60.2013297, 37.4241018, 72.3539419, 41.8252151",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412666-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412666-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/A crop type dataset for consistent land cover classification in Central Asia.v1",
+ "description": "Land cover is a key variable in the context of climate change. In particular, crop type information is essential to understand the spatial distribution of water usage and anticipate the risk of water scarcity and the consequent danger of food insecurity. This applies to arid regions such as the Aral Sea Basin (ASB), Central Asia, where agriculture relies heavily on irrigation. Here, remote sensing is valuable to map crop types, but its quality depends on consistent ground-truth data. Yet, in the ASB, such data is missing. Addressing this issue, we collected thousands of polygons on crop types, 97.7% of which in Uzbekistan and the remaining in Tajikistan. We collected 8,196 samples between 2015 and 2018, 213 in 2011 and 26 in 2008. Our data compiles samples for 40 crop types and is dominated by \u201ccotton\u201d (40%) and \u201cwheat\u201d, (25%). These data were meticulously validated using expert knowledge and remote sensing data and relied on transferable, open-source workflows that will assure the consistency of future sampling campaigns.",
+ "license": "not-provided"
+ },
{
"id": "AAOT.v0",
"title": "Acqua Alta Oceanographic Tower (AAOT)",
@@ -298,6 +428,19 @@
"description": "This data set contains geotagged images collected over Alaska and Western Canada. The images were taken by the NASA Digital Mapping Camera, paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).",
"license": "not-provided"
},
+ {
+ "id": "ABoVE_Concise_Experiment_Plan_1617.v1.1",
+ "title": "A Concise Experiment Plan for the Arctic-Boreal Vulnerability Experiment",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "2014-01-01",
+ "end_date": "2021-12-31",
+ "bbox": "-176.12, 39.42, -66.92, 81.61",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145735-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2162145735-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/ABoVE_Concise_Experiment_Plan_1617.v1.1",
+ "description": "This document presents the Concise Experiment Plan for NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) to serve as a guide to the Program as it identifies the research to be conducted under this study. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite remote sensing, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications. The ABoVE Concise Experiment Plan (ACEP) outlines the conceptual basis for the Field Campaign and expresses the compelling rationale explaining the scientific and societal importance of the study. It presents both the science questions driving ABoVE research as well as the top-level requirements for a study design to address them.",
+ "license": "not-provided"
+ },
{
"id": "ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data.v1",
"title": "ACCLIP WB-57 Aerosol and Cloud Remotely Sensed Data",
@@ -1442,6 +1585,110 @@
"description": "This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.",
"license": "not-provided"
},
+ {
+ "id": "ATL04.v006",
+ "title": "ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006",
+ "catalog": "NSIDC_CPRD",
+ "state_date": "2018-10-13",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL04.v006",
+ "description": "ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
+ "license": "not-provided"
+ },
+ {
+ "id": "ATL06.v006",
+ "title": "ATLAS/ICESat-2 L3A Land Ice Height V006",
+ "catalog": "NSIDC_CPRD",
+ "state_date": "2018-10-14",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL06.v006",
+ "description": "This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
+ "license": "not-provided"
+ },
+ {
+ "id": "ATL07.v006",
+ "title": "ATLAS/ICESat-2 L3A Sea Ice Height V006",
+ "catalog": "NSIDC_CPRD",
+ "state_date": "2018-10-14",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL07.v006",
+ "description": "The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
+ "license": "not-provided"
+ },
+ {
+ "id": "ATL08.v006",
+ "title": "ATLAS/ICESat-2 L3A Land and Vegetation Height V006",
+ "catalog": "NSIDC_CPRD",
+ "state_date": "2018-10-14",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL08.v006",
+ "description": "This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
+ "license": "not-provided"
+ },
+ {
+ "id": "ATL09.v006",
+ "title": "ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006",
+ "catalog": "NSIDC_CPRD",
+ "state_date": "2018-10-13",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL09.v006",
+ "description": "This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
+ "license": "not-provided"
+ },
+ {
+ "id": "ATL10.v006",
+ "title": "ATLAS/ICESat-2 L3A Sea Ice Freeboard V006",
+ "catalog": "NSIDC_CPRD",
+ "state_date": "2018-10-14",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL10.v006",
+ "description": "This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
+ "license": "not-provided"
+ },
+ {
+ "id": "ATL12.v006",
+ "title": "ATLAS/ICESat-2 L3A Ocean Surface Height V006",
+ "catalog": "NSIDC_CPRD",
+ "state_date": "2018-10-13",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553216-NSIDC_CPRD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2613553216-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL12.v006",
+ "description": "This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.",
+ "license": "not-provided"
+ },
+ {
+ "id": "ATL13.v006",
+ "title": "ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006",
+ "catalog": "NSIDC_CPRD",
+ "state_date": "2018-10-13",
+ "end_date": "",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/NSIDC_CPRD/collections/ATL13.v006",
+ "description": "This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).",
+ "license": "not-provided"
+ },
{
"id": "ATSMIGEO.v002",
"title": "MISR Geometric Parameters subset for the ARCTAS region V002",
@@ -1624,6 +1871,32 @@
"description": "Measurements in the Gulf Stream off the East Coast of the US in 2001",
"license": "not-provided"
},
+ {
+ "id": "AgriFieldNet Competition Dataset.v1",
+ "title": "AgriFieldNet Competition Dataset",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "76.2448319, 18.9414403, 88.0460054, 28.3269976",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412563-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412563-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/AgriFieldNet Competition Dataset.v1",
+ "description": "This dataset contains crop types of agricultural fields in four states of Uttar Pradesh, Rajasthan, Odisha and Bihar in northern India. There are 13 different classes in the dataset including Fallow land and 12 crop types of Wheat, Mustard, Lentil, Green pea, Sugarcane, Garlic, Maize, Gram, Coriander, Potato, Bersem, and Rice. The dataset is split to train and test collections as part of the AgriFieldNet India Competition. Ground reference data for this dataset is collected by IDinsight\u2019s [Data on Demand](https://www.idinsight.org/services/data-on-demand/) team. Radiant Earth Foundation carried out the training dataset curation and publication. This training dataset is generated through a grant from the Enabling Crop Analytics at Scale ([ECAAS](https://cropanalytics.net/)) Initiative funded by [The Bill & Melinda Gates Foundation](https://www.gatesfoundation.org/) and implemented by [Tetra Tech](https://www.tetratech.com/).",
+ "license": "not-provided"
+ },
+ {
+ "id": "BigEarthNet.v1",
+ "title": "BigEarthNet",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "-9.0002335, 36.9569567, 31.5984391, 68.021682",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412035-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412035-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/BigEarthNet.v1",
+ "description": "BigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of 590,326 Sentinel-2 image patches. To construct BigEarthNet, 125 Sentinel-2 tiles acquired between June 2017 and May 2018 over the 10 countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) of Europe were initially selected. All the tiles were atmospherically corrected by the Sentinel-2 Level 2A product generation and formatting tool (sen2cor). Then, they were divided into 590,326 non-overlapping image patches. Each image patch was annotated by the multiple land-cover classes (i.e., multi-labels) that were provided from the CORINE Land Cover database of the year 2018 (CLC 2018).",
+ "license": "not-provided"
+ },
{
"id": "C1_PANA_STUC00GTD.v1",
"title": "Cartosat-1 PANA Standard Products",
@@ -1975,6 +2248,32 @@
"description": "The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_SNPP is the shortname for the SNPP VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product\u2019s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the SNPP VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the SNPP VIIRS L2 Cloud mask is 750 meters.",
"license": "not-provided"
},
+ {
+ "id": "CSU Synthetic Attribution Benchmark Dataset.v1",
+ "title": "CSU Synthetic Attribution Benchmark Dataset",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "-179.5, -89.5, 179.5, 89.5",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781411899-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781411899-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/CSU Synthetic Attribution Benchmark Dataset.v1",
+ "description": "This is a synthetic dataset that can be used by users that are interested in benchmarking methods of explainable artificial intelligence (XAI) for geoscientific applications. The dataset is specifically inspired from a climate forecasting setting (seasonal timescales) where the task is to predict regional climate variability given global climate information lagged in time. The dataset consists of a synthetic input X (series of 2D arrays of random fields drawn from a multivariate normal distribution) and a synthetic output Y (scalar series) generated by using a nonlinear function F: R^d -> R.
The synthetic input aims to represent temporally independent realizations of anomalous global fields of sea surface temperature, the synthetic output series represents some type of regional climate variability that is of interest (temperature, precipitation totals, etc.) and the function F is a simplification of the climate system.
Since the nonlinear function F that is used to generate the output given the input is known, we also derive and provide the attribution of each output value to the corresponding input features. Using this synthetic dataset users can train any AI model to predict Y given X and then implement XAI methods to interpret it. Based on the \u201cground truth\u201d of attribution of F the user can assess the faithfulness of any XAI method.
NOTE: the spatial configuration of the observations in the NetCDF database file conform to the planetocentric coordinate system (89.5N - 89.5S, 0.5E - 359.5E), where longitude is measured in the positive heading east from the prime meridian.",
+ "license": "not-provided"
+ },
+ {
+ "id": "CV4A Kenya Crop Type Competition.v1",
+ "title": "CV4A Kenya Crop Type Competition",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "34.0220685, 0.1670219, 34.38443, 0.7160466",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412688-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412688-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/CV4A Kenya Crop Type Competition.v1",
+ "description": "This dataset was produced as part of the [Crop Type Detection competition](https://zindi.africa/competitions/iclr-workshop-challenge-2-radiant-earth-computer-vision-for-crop-recognition) at the [Computer Vision for Agriculture (CV4A) Workshop](https://www.cv4gc.org/cv4a2020/) at the ICLR 2020 conference. The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 satellites.
The ground reference data were collected by the PlantVillage team, and Radiant Earth Foundation curated the training dataset after inspecting and selecting more than 4,000 fields from the original ground reference data. The dataset has been split into training and test sets (3,286 in the train and 1,402 in the test).
The dataset is cataloged in four tiles. These tiles are smaller than the original Sentinel-2 tile that has been clipped and chipped to the geographical area that labels have been collected.
Each tile has a) 13 multi-band observations throughout the growing season. Each observation includes 12 bands from Sentinel-2 L2A product, and a cloud probability layer. The twelve bands are [B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B11, B12]. The cloud probability layer is a product of the Sentinel-2 atmospheric correction algorithm (Sen2Cor) and provides an estimated cloud probability (0-100%) per pixel. All of the bands are mapped to a common 10 m spatial resolution grid.; b) A raster layer indicating the crop ID for the fields in the training set; and c) A raster layer indicating field IDs for the fields (both training and test sets). Fields with a crop ID of 0 are the test fields.",
+ "license": "not-provided"
+ },
{
"id": "CWIC_REG.v1.0",
"title": "Radarsat-2 Scenes, Natural Resources Canada",
@@ -2027,6 +2326,32 @@
"description": "Measurements made in the Arctic Ocean by the RV Catlin in 2011.",
"license": "not-provided"
},
+ {
+ "id": "Chesapeake Land Cover.v1",
+ "title": "Chesapeake Land Cover",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "-80.8092703, 36.5643108, -74.2529408, 43.9973515",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412641-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412641-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/Chesapeake Land Cover.v1",
+ "description": "This dataset contains high-resolution aerial imagery from the USDA NAIP program, high-resolution land cover labels from the Chesapeake Conservancy, low-resolution land cover labels from the USGS NLCD 2011 dataset, low-resolution multi-spectral imagery from Landsat 8, and high-resolution building footprint masks from Microsoft Bing, formatted to accelerate machine learning research into land cover mapping. The Chesapeake Conservancy spent over 10 months and $1.3 million creating a consistent six-class land cover dataset covering the Chesapeake Bay watershed. While the purpose of the mapping effort by the Chesapeake Conservancy was to create land cover data to be used in conservation efforts, the same data can be used to train machine learning models that can be applied over even wider areas.",
+ "license": "not-provided"
+ },
+ {
+ "id": "Cloud to Street - Microsoft flood dataset.v1",
+ "title": "Cloud to Street - Microsoft flood dataset",
+ "catalog": "MLHUB",
+ "state_date": "2020-01-01",
+ "end_date": "2023-01-01",
+ "bbox": "-96.631888, -25.250962, 141.118143, 48.745167",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412798-MLHUB.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2781412798-MLHUB.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/MLHUB/collections/Cloud to Street - Microsoft flood dataset.v1",
+ "description": "The C2S-MS Floods Dataset is a dataset of global flood events with labeled Sentinel-1 & Sentinel-2 pairs. There are 900 sets (1800 total) of near-coincident Sentinel-1 and Sentinel-2 chips (512 x 512 pixels) from 18 global flood events. Each chip contains a water label for both Sentinel-1 and Sentinel-2, as well as a cloud/cloud shadow mask for Sentinel-2. The dataset was constructed by Cloud to Street in collaboration with and funded by the Microsoft Planetary Computer team.",
+ "license": "not-provided"
+ },
{
"id": "DLG100K",
"title": "1:100,000-scale Digital Line Graphs (DLG) from the U.S. Geological Survey",
@@ -2040,6 +2365,19 @@
"description": "Digital line graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1: 100,000 are used. Intermediate-scale DLG's are sold in five categories: (1) Public Land Survey System; (2) boundaries (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks. ",
"license": "not-provided"
},
+ {
+ "id": "Daymet_V4_Daily_MonthlyLatency_1904.v1",
+ "title": "Daymet Version 4 Monthly Latency: Daily Surface Weather Data",
+ "catalog": "ORNL_DAAC",
+ "state_date": "2021-01-01",
+ "end_date": "2023-03-31",
+ "bbox": "-178.13, 14.07, -53.06, 83.2",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2060950385-ORNL_DAAC.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2060950385-ORNL_DAAC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Daymet_V4_Daily_MonthlyLatency_1904.v1",
+ "description": "This dataset provides Daymet Version 4 daily data on a monthly cycle as 1-km gridded estimates of daily weather variables for minimum temperature (tmin), maximum temperature (tmax), precipitation (prcp), shortwave radiation (srad), vapor pressure (vp), snow water equivalent (swe), and day length. Data are derived from the Daymet version 4 software where the primary inputs are daily observations of near-surface maximum and minimum air temperature and daily total precipitation from weather stations. The main algorithm to estimate primary Daymet variables (tmax, tmin, and prcp) at each Daymet grid is based on a combination of interpolation and extrapolation, using inputs from multiple weather stations and weights that reflect the spatial and temporal relationships between a Daymet grid and the surrounding weather stations. Secondary variables (srad, vp, and swe) are derived from the primary variables (tmax, tmin, and prcp) based on atmospheric theory and empirical relationships. The day length (dayl) estimate is based on geographic location and time of year. Data are available for the Continental North America, Puerto Rico, and Hawaii as separate spatial layers in a Lambert Conformal Conic projection and are distributed in standardized Climate and Forecast (CF)-compliant netCDF file formats.",
+ "license": "not-provided"
+ },
{
"id": "E06_OCM_GAC_STGO00GND.v1.0",
"title": "EOS-06 OCM Global Area Coverage (GAC) - 1080m resolution Standard Products - Oceansat Series",
@@ -2184,250 +2522,55 @@
"license": "not-provided"
},
{
- "id": "EO:EUM:CM:METOP:ASCSZFR02.v2014-10-07",
- "title": "ASCAT L1 SZF Climate Data Record Release 2 - Metop",
- "catalog": "EUMETSAT",
- "state_date": "2007-01-01",
- "end_date": "2014-03-31",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:CM:METOP:ASCSZFR02.v2014-10-07",
- "description": "Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at full resolution (SZF). Normalized radar cross section (NRCS) of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at 12.5 and 25 km Swath Grids. This is a Fundamental Climate Data Record (FCDR). ",
- "license": "not-provided"
- },
- {
- "id": "EO:EUM:CM:METOP:ASCSZOR02.v2014-10-07",
- "title": "ASCAT L1 SZO Climate Data Record Release 2 - Metop",
- "catalog": "EUMETSAT",
- "state_date": "2007-01-01",
- "end_date": "2014-03-31",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901391-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901391-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:CM:METOP:ASCSZOR02.v2014-10-07",
- "description": "Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 25 km Swath Grid (SZO). Normalized radar cross section (NRCS) triplets of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at full resolution and at 12.5 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). ",
- "license": "not-provided"
- },
- {
- "id": "EO:EUM:CM:METOP:ASCSZRR02.v2014-10-07",
- "title": "ASCAT L1 SZR Climate Data Record Release 2 - Metop",
- "catalog": "EUMETSAT",
- "state_date": "2007-01-01",
- "end_date": "2014-03-31",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901394-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901394-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:CM:METOP:ASCSZRR02.v2014-10-07",
- "description": "Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 12.5 km Swath Grid (SZR). Normalized radar cross section (NRCS) triplets of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at full resolution and at 25 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). ",
- "license": "not-provided"
- },
- {
- "id": "EO:EUM:CM:MSG:MSGASRE0100.v2015-06-01",
- "title": "All-Sky Radiances - MSG - 0 degree (CF-015 Release 1)",
- "catalog": "EUMETSAT",
- "state_date": "2004-03-01",
- "end_date": "2012-12-31",
- "bbox": "-79, -81, 79, 81",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588876447-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588876447-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:CM:MSG:MSGASRE0100.v2015-06-01",
- "description": "This is the first release of the reprocessed SEVIRI All-Sky Radiances (ASR) product. The ASR product contains information on mean brightness temperatures (16x16 pixels so around 50km at nadir) from all thermal (e.g. infrared and water vapour) channels. It includes both clear and cloudy sky brightness temperatures. The ASR product also contains the fraction of clear sky and the solar zenith angle. The final ASR product is BUFR encoded 3-hourly at every third quarter of the hour (e.g. 00:45, 01:45 ...).Note that the reprocessing was done using the latest version of the EUMETSAT software (Version 1.5.3, 2013) ingesting original level 1.5 SEVIRI images and the ECMWF ERA-interim as a as a forecast input re-analysis data.",
- "license": "not-provided"
- },
- {
- "id": "EO:EUM:DAT:METOP:ASCSZF1B.v2010-09-21",
- "title": "ASCAT GDS Level 1 Sigma0 at Full Sensor Resolution - Metop",
- "catalog": "EUMETSAT",
- "state_date": "2007-05-31",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901397-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901397-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:DAT:METOP:ASCSZF1B.v2010-09-21",
- "description": "The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product consists of geo-located radar backscatter values along the six ASCAT beams. The different beam measurements are not collocated into a regular swath grid and the individual measurements are not spatially averaged. The resolution of each of the 255 backscatter values per each beam varies slightly along the beam, but it is approximately 10km (in the along beam direction) x 25 km (across the beam). This product is usually referred to as 'ASCAT Level 1B Full resolution product'. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.",
- "license": "not-provided"
- },
- {
- "id": "EO:EUM:DAT:METOP:ASCSZO1B.v2010-09-21",
- "title": "ASCAT GDS Level 1 Sigma0 resampled at 25 km Swath Grid - Metop",
- "catalog": "EUMETSAT",
- "state_date": "2007-03-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901403-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901403-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:DAT:METOP:ASCSZO1B.v2010-09-21",
- "description": "The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 25 km Swath Grid'.",
- "license": "not-provided"
- },
- {
- "id": "EO:EUM:DAT:METOP:ASCSZR1B.v2010-09-21",
- "title": "ASCAT GDS Level 1 Sigma0 resampled at 12.5 km Swath Grid - Metop",
- "catalog": "EUMETSAT",
- "state_date": "2007-03-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901400-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901400-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:DAT:METOP:ASCSZR1B.v2010-09-21",
- "description": "The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 12.5 km Swath Grid'.",
- "license": "not-provided"
- },
- {
- "id": "EO:EUM:DAT:METOP:OSI-104.v2011-09-28",
- "title": "ASCAT Coastal Winds at 12.5 km Swath Grid - Metop",
- "catalog": "EUMETSAT",
- "state_date": "1970-01-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901378-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901378-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:DAT:METOP:OSI-104.v2011-09-28",
- "description": "Equivalent neutral 10m winds over the global oceans, with specific sampling to provide as many observations as possible near the coasts. Better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B).",
- "license": "not-provided"
- },
- {
- "id": "EO:EUM:DAT:METOP:SOMO12.v2010-06-21",
- "title": "ASCAT Soil Moisture at 12.5 km Swath Grid - Metop",
- "catalog": "EUMETSAT",
- "state_date": "2007-06-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901376-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901376-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:DAT:METOP:SOMO12.v2010-06-21",
- "description": "The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.",
- "license": "not-provided"
- },
- {
- "id": "EO:EUM:DAT:METOP:SOMO25.v2010-06-21",
- "title": "ASCAT Soil Moisture at 25 km Swath Grid - Metop",
- "catalog": "EUMETSAT",
- "state_date": "2007-06-01",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901374-EUMETSAT.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1588901374-EUMETSAT.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/EUMETSAT/collections/EO:EUM:DAT:METOP:SOMO25.v2010-06-21",
- "description": "The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.",
- "license": "not-provided"
- },
- {
- "id": "FIFE_BRUT_SON_15.v1",
- "title": "Atmospheric Profiles: Brutsaert (FIFE)",
+ "id": "FIFE_NOAA_SUR_58.v1",
+ "title": "NOAA Regional Surface Data (FIFE)",
"catalog": "ORNL_DAAC",
- "state_date": "1987-05-26",
- "end_date": "1989-08-12",
- "bbox": "-96.56, 39.12, -96.56, 39.12",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002837-ORNL_DAAC.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002837-ORNL_DAAC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_BRUT_SON_15.v1",
- "description": "Radiosonde observations from Wilf Brutsaert",
+ "state_date": "1985-07-02",
+ "end_date": "1988-10-23",
+ "bbox": "-97, 39, -95, 40",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002772-ORNL_DAAC.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002772-ORNL_DAAC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_NOAA_SUR_58.v1",
+ "description": "Hourly surface weather reports collected by NESDIS for stations near FIFE",
"license": "not-provided"
},
{
- "id": "FIFE_LIDAR_HT_17.v1",
- "title": "Boundary Layer Heights: LIDAR (FIFE)",
+ "id": "FIFE_WIND_LID_138.v1",
+ "title": "Wind Profile Data: LIDAR - NOAA (FIFE)",
"catalog": "ORNL_DAAC",
- "state_date": "1987-06-30",
- "end_date": "1989-10-31",
+ "state_date": "1987-06-24",
+ "end_date": "1987-07-11",
"bbox": "-96.54, 39.07, -96.54, 39.07",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003412-ORNL_DAAC.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003412-ORNL_DAAC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_LIDAR_HT_17.v1",
- "description": "Height of the mixed layer gas for each LIDAR shot in volume scan, then averaged",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003279-ORNL_DAAC.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003279-ORNL_DAAC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_WIND_LID_138.v1",
+ "description": "Wind profile data from NOAA LIDAR measurements",
"license": "not-provided"
},
{
- "id": "FIFE_NOAA_TOV_16.v1",
- "title": "Atmospheric Profiles: TOVS - NOAA (FIFE)",
+ "id": "Forested_Areas_Amazonas_Brazil_1515.v1",
+ "title": "LiDAR and DTM Data from Forested Land Near Manaus, Amazonas, Brazil, 2008",
"catalog": "ORNL_DAAC",
- "state_date": "1987-01-01",
- "end_date": "1987-12-31",
- "bbox": "-102, 37, -95, 40",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003142-ORNL_DAAC.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003142-ORNL_DAAC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_NOAA_TOV_16.v1",
- "description": "TOVS data received by FIFE",
+ "state_date": "2008-06-07",
+ "end_date": "2008-06-24",
+ "bbox": "-60.22, -2.98, -59.76, -2.32",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1413152023-ORNL_DAAC.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1413152023-ORNL_DAAC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Forested_Areas_Amazonas_Brazil_1515.v1",
+ "description": "This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the K34 tower site in the Cuieiras Biological Reserve, over forest inventory plots in the Adolpho Ducke Forest Reserve, and over sites of the Biological Dynamics of Forest Fragments Project (BDFFP) in Rio Preto da Eva municipality near Manaus, Amazonas, Brazil during June 2008. The surveys encompass the K34 eddy flux tower managed through the Large-scale Biosphere-Atmosphere Experiment in Amazonia, forest inventory plots managed by the Programa de Pesquisa em Biodiversidade (PPBio), and sites managed by the BDFFP. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.",
"license": "not-provided"
},
{
- "id": "FIFE_SF30_BRG_20.v1",
- "title": "Bowen Ratio Surface Flux: GSFC (FIFE)",
+ "id": "Forested_Areas_Para_Brazil_1514.v1",
+ "title": "LiDAR and DTM Data from Tapajos National Forest in Para, Brazil, 2008",
"catalog": "ORNL_DAAC",
- "state_date": "1987-05-26",
- "end_date": "1987-10-16",
- "bbox": "-96.61, 38.98, -96.45, 39.11",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003284-ORNL_DAAC.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003284-ORNL_DAAC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_SF30_BRG_20.v1",
- "description": "Surface flux measurements by Bowen Ratio technique during FIFE",
- "license": "not-provided"
- },
- {
- "id": "FIFE_SF30_BRK_21.v1",
- "title": "Bowen Ratio Surface Flux: KSU (FIFE)",
- "catalog": "ORNL_DAAC",
- "state_date": "1987-05-29",
- "end_date": "1989-08-13",
- "bbox": "-96.61, 38.98, -96.45, 39.11",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179002962-ORNL_DAAC.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179002962-ORNL_DAAC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_SF30_BRK_21.v1",
- "description": "Assessing the effects of annual burning & topography on surface energy exchanges",
- "license": "not-provided"
- },
- {
- "id": "FIFE_SF30_BRL_19.v1",
- "title": "Bowen Ratio Surf. Flux: Fritschen (FIFE)",
- "catalog": "ORNL_DAAC",
- "state_date": "1987-05-26",
- "end_date": "1989-08-14",
- "bbox": "-96.61, 38.98, -96.45, 39.11",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003377-ORNL_DAAC.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003377-ORNL_DAAC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_SF30_BRL_19.v1",
- "description": "Evaluation of surface radiation and energy budget stations for FIFE",
- "license": "not-provided"
- },
- {
- "id": "FIFE_SF30_BRS_22.v1",
- "title": "Bowen Ratio Surface Flux: Smith (FIFE)",
- "catalog": "ORNL_DAAC",
- "state_date": "1987-05-27",
- "end_date": "1989-08-13",
- "bbox": "-96.61, 38.98, -96.45, 39.11",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003349-ORNL_DAAC.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003349-ORNL_DAAC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_SF30_BRS_22.v1",
- "description": "Retrieval of surface fluxes from a combination of satellite & surface platforms",
- "license": "not-provided"
- },
- {
- "id": "FIFE_SF30_BRV_23.v1",
- "title": "Bowen Ratio Surface Flux: UNL (FIFE)",
- "catalog": "ORNL_DAAC",
- "state_date": "1987-05-28",
- "end_date": "1987-10-17",
- "bbox": "-96.61, 38.98, -96.45, 39.11",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003347-ORNL_DAAC.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003347-ORNL_DAAC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_SF30_BRV_23.v1",
- "description": "Latent & sensible heat flux by Bowen Ratio & aerodynamic characterization of vegetation",
- "license": "not-provided"
- },
- {
- "id": "FIFE_SODAR_18.v1",
- "title": "Boundary Layer Heights: SODAR (FIFE)",
- "catalog": "ORNL_DAAC",
- "state_date": "1987-05-26",
- "end_date": "1987-08-22",
- "bbox": "-96.56, 39.08, -96.56, 39.08",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C179003015-ORNL_DAAC.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C179003015-ORNL_DAAC.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/FIFE_SODAR_18.v1",
- "description": "Inversion heights as measured using a Sodar by R.L. Coulter & M.L. Wesely",
+ "state_date": "2008-06-25",
+ "end_date": "2008-07-04",
+ "bbox": "-54.98, -3.06, -54.94, -2.85",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C1413152020-ORNL_DAAC.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C1413152020-ORNL_DAAC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/Forested_Areas_Para_Brazil_1514.v1",
+ "description": "This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the Tapajos National Forest in Belterra municipality, Para, Brazil during late June and early July 2008. The surveys encompass the K67 and K83 eddy flux towers and a deforestation chronosequence managed through the Large-Scale Biosphere-Atmosphere Experiment in Amazonia providing long-term flux measurements of carbon dioxide. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.",
"license": "not-provided"
},
{
@@ -2651,6 +2794,58 @@
"description": "Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Geometric Parameters subset for the GoMACCS region V002 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid.",
"license": "not-provided"
},
+ {
+ "id": "Global_Litter_Carbon_Nutrients_1244.v1",
+ "title": "A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "1827-01-01",
+ "end_date": "1997-12-31",
+ "bbox": "-156.7, -54.5, 176.2, 72.5",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784385713-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784385713-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Global_Litter_Carbon_Nutrients_1244.v1",
+ "description": "Measurement data of aboveground litterfall and littermass and litter carbon, nitrogen, and nutrient concentrations were extracted from 685 original literature sources and compiled into a comprehensive database to support the analysis of global patterns of carbon and nutrients in litterfall and litter pools. Data are included from sources dating from 1827 to 1997. The reported data include the literature reference, general site information (description, latitude, longitude, and elevation), site climate data (mean annual temperature and precipitation), site vegetation characteristics (management, stand age, ecosystem and vegetation-type codes), annual quantities of litterfall (by class, kg m-2 yr-1), litter pool mass (by class and litter layer, kg m-2), and concentrations of nitrogen (N), phosphorus (P), and base cations for the litterfall (g m-2 yr-1) and litter pool components (g m-2). The investigators intent was to compile a comprehensive data set of individual direct field measurements as reported by researchers. While the primary emphasis was on acquiring C data, measurements of N, P, and base cations were also obtained, although the database is sparse for elements other than C and N. Each of the 1,497 records in the database represents a measurement site. Replicate measurements were averaged according to conventions described in Section 5 and recorded for each site in the database. The sites were at 575 different locations. ",
+ "license": "not-provided"
+ },
+ {
+ "id": "Global_Microbial_Biomass_C_N_P_1264.v1",
+ "title": "A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "1977-11-16",
+ "end_date": "2012-06-01",
+ "bbox": "-180, -90, 177.9, 79",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Global_Microbial_Biomass_C_N_P_1264.v1",
+ "description": "This data set provides the concentrations of soil microbial biomass carbon (C), nitrogen (N) and phosphorus (P), soil organic carbon, total nitrogen, and total phosphorus at biome and global scales. The data were compiled from a comprehensive survey of publications from the late 1970s to 2012 and include 3,422 data points from 315 papers. These data are from soil samples collected primarily at 0-15 cm depth with some from 0-30 cm. In addition, data were compiled for soil microbial biomass concentrations from soil profile samples to depths of 100 cm. Sampling site latitude and longitude were available for the majority of the samples that enabled assembling additional soil properties, site characteristics, vegetation distributions, biomes, and long-term climate data from several global sources of soil, land-cover, and climate data. These site attributes are included with the microbial biomass data. This data set contains two *.csv files of the soil microbial biomass C, N, P data. The first provides all compiled results emphasizing the full spatial extent of the data, while the second is a subset that provides only data from a series of profile samples emphasizing the vertical distribution of microbial biomass concentrations.There is a companion file, also in .csv format, of the references for the surveyed publications. A reference_number relates the data to the respective publication.The concentrations of soil microbial biomass, in combination with other soil databases, were used to estimate the global storage of soil microbial biomass C and N in 0-30 cm and 0-100 cm soil profiles. These storage estimates were combined with a spatial map of 12 major biomes (boreal forest, temperate coniferous forest, temperate broadleaf forest, tropical and subtropical forests, mixed forest, grassland, shrub, tundra, desert, natural wetland, cropland, and pasture) at 0.05-degree by 0.5-degree spatial resolution. The biome map and six estimates of C and N storage and C:N ration in soil microbial biomass are provided in a single netCDF format file. ",
+ "license": "not-provided"
+ },
+ {
+ "id": "Global_Phosphorus_Hedley_Fract_1230.v1",
+ "title": "A Global Database of Soil Phosphorus Compiled from Studies Using Hedley Fractionation",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "1985-01-01",
+ "end_date": "2010-12-31",
+ "bbox": "-117.86, -42.5, 117.6, 63.23",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863440-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863440-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Global_Phosphorus_Hedley_Fract_1230.v1",
+ "description": "This data set provides concentrations of soil phosphorus (P) compiled from the peer-reviewed literature that cited the Hedley fractionation method (Hedley and Stewart, 1982). This database contains estimates of different forms of naturally occurring soil phosphorus, including labile inorganic P, organic P, occluded P, secondary mineral P, apatite P, and total P, based on the analyses of the various Hedley soil fractions.The recent literature survey (Yang and Post, 2011) was restricted to studies of natural, unfertilized, and uncultivated soils since 1995. Ninety measurements of soil P fractions were identified. These were added to the 88 values from soils in natural ecosystems that Cross and Schlesinger (1995) had compiled. Cross and Schlesinger provided a comprehensive survey on Hedley P data prior to 1995. Measurement data are provided for studies published from 1985 through 2010. In addition to the Hedley P fraction measurement data Yang and Post (2011) also compiled information on soil order, soil pH, organic carbon and nitrogen content, as well as the geographic location (longitude and latitude) of the measurement sites. ",
+ "license": "not-provided"
+ },
+ {
+ "id": "Global_RTSG_Flux_1078.v1",
+ "title": "A Global Database of Gas Fluxes from Soils after Rewetting or Thawing, Version 1.0",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "1956-01-01",
+ "end_date": "2009-12-31",
+ "bbox": "-149.63, -36.45, 160.52, 74.5",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863284-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2216863284-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Global_RTSG_Flux_1078.v1",
+ "description": "This database contains information compiled from published studies on gas flux from soil following rewetting or thawing. The resulting database includes 222 field and laboratory observations focused on rewetting of dry soils, and 116 field laboratory observations focused on thawing of frozen soils studies conducted from 1956 to 2010. Fluxes of carbon dioxide, methane, nitrous oxide, nitrogen oxide, and ammonia (CO2, CH4, N2O, NO and NH3) were compiled from the literature and the flux rates were normalized for ease of comparison. Field observations of gas flux following rewetting of dry soils include events caused by natural rainfall, simulated rainfall in natural ecosystems, and irrigation in agricultural lands. Similarly, thawing of frozen soils include field observations of natural thawing, simulated freezing-thawing events (i.e., thawing of simulated frozen soil by snow removal), and thawing of seasonal ice in temperate and high latitude regions (Kim et al., 2012). Reported parameters include experiment type, location, site type, vegetation, climate, soil properties, rainfall, soil moisture, soil gas flux after wetting and thawing, peak soil gas flux properties, and the corresponding study references. There is one comma-delimited data file. ",
+ "license": "not-provided"
+ },
{
"id": "GreenBay.v0",
"title": "2010 Measurements made in Green Bay, Wisconsin",
@@ -2898,6 +3093,19 @@
"description": "The Level 2C wind product of the Aeolus mission provides ECMWF analysis horizontal wind vectors at the geolocations of assimilated L2B HLOS wind components. The L2C can therefore be described as an Aeolus-assisted horizontal wind vector product. The L2C is a distinct product, however the L2C and L2B share a common Earth Explorer file template, with the L2C being a superset of the L2B. The L2C consists of extra datasets appended to the L2B product with information which are relevant to the data assimilation of the L2B winds.",
"license": "not-provided"
},
+ {
+ "id": "LAI_Woody_Plants_1231.v1",
+ "title": "A Global Database of Field-observed Leaf Area Index in Woody Plant Species, 1932-2011",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "1932-01-01",
+ "end_date": "2011-12-31",
+ "bbox": "-164.78, -54.2, 175.62, 78.42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784385653-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784385653-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/LAI_Woody_Plants_1231.v1",
+ "description": "This data set provides global leaf area index (LAI) values for woody species. The data are a compilation of field-observed data from 1,216 locations obtained from 554 literature sources published between 1932 and 2011. Only site-specific maximum LAI values were included from the sources; values affected by significant artificial treatments (e.g. continuous fertilization and/or irrigation) and LAI values that were low due to drought or disturbance (e.g. intensive thinning, wildfire, or disease), or because vegetation was immature or old/declining, were excluded (Lio et al., 2014). To maximize the generic applicability of the data, original LAI values from source literature and values standardized using the definition of half of total surface area (HSA) are included. Supporting information, such as geographical coordinates of plot, altitude, stand age, name of dominant species, plant functional types, and climate data are also provided in the data file. There is one data file in comma-separated (.csv) format with this data set and one companion file which provides the data sources.",
+ "license": "not-provided"
+ },
{
"id": "LGB_10m_traverse.v1",
"title": "10 m firn temperature data: LGB traverses 1990-95",
@@ -2911,6 +3119,32 @@
"description": "The Lambert Glacier Basin (LGB) series of five oversnow traverses were conducted from 1989-95. Ten metre depth (10 m) firn temperatures, as a proxy indicator of annual mean surface temperature at a site, were recorded approximately every 30 km along the 2014 km main traverse route from LGB00 (68.6543 S, 61.1201 E) near Mawson Station, to LGB72 (69.9209 S, 76.4933 E) near Davis Station. 10 m depth firn temperatures were recorded manually in field notebooks and the data transferred to spreadsheet files (MS Excel). Summary data (30 km spatial resolution) can be obtained from CRC Research Note No.09 'Surface Mass Balance and Snow Surface Properties from the Lambert Glacier Basin Traverses 1990-94'. This work was completed as part of ASAC projects 3 and 2216. Some of this data have been stored in a very old format. The majority of files have been updated to current formats, but some files (kaleidograph files in particular) were not able to be modified due to a lack of appropriate software. However, these files are simply figures, and can be regenerated from the raw data (also provided). The fields in this dataset are: Latitutde Longitude Height Cane Distance Elevation Density Mass Accumulation Year Delta Oxygen-18 Grain Size Ice Crusts Depth Hoar",
"license": "not-provided"
},
+ {
+ "id": "Leaf_Carbon_Nutrients_1106.v1",
+ "title": "A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "1970-01-01",
+ "end_date": "2009-12-31",
+ "bbox": "-159.7, -50, 176.9, 68.5",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784383820-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784383820-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Leaf_Carbon_Nutrients_1106.v1",
+ "description": "This data set provides carbon (C), nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) concentrations in green and senesced leaves. Vegetation characteristics reported include species growth habit, leaf area, mass, and mass loss with senescence. The data were compiled from 86 selected studies in 31 countries, and resulted in approximately 1,000 data points for both green and senesced leaves from woody and non-woody vegetation as described in Vergutz et al (2012). The studies were conducted from 1970-2009. There are two comma-delimited data files with this data set.",
+ "license": "not-provided"
+ },
+ {
+ "id": "Leaf_Photosynthesis_Traits_1224.v1",
+ "title": "A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "1993-01-01",
+ "end_date": "2010-12-31",
+ "bbox": "-122.4, -43.2, 176.13, 58.42",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2784384781-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2784384781-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/Leaf_Photosynthesis_Traits_1224.v1",
+ "description": "This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate of electron transport (Jmax) are primary determinants of photosynthetic rates in plants, and modeled carbon fluxes are highly sensitive to these parameters. Previous studies have shown that Vcmax and Jmax correlate with leaf nitrogen across species and regions, and locally across species with leaf phosphorus and specific leaf area, yet no universal relationship suitable for global-scale models is currently available. These data are suitable for exploring the general relationships of Vcmax and Jmax with each other and with leaf N, P and SLA. This data set contains one *.csv file.",
+ "license": "not-provided"
+ },
{
"id": "Level_2A_aerosol_cloud_optical_products",
"title": "Aeolus L2A Aerosol/Cloud optical product",
@@ -2976,6 +3210,45 @@
"description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (MAS) sensor was developed for NASA's high-altitude ER-2 research aircraft by Daedalus Enterprises, Inc., in support of the MODIS remote sensing algorithm development. The overall goal was to modify the spectral coverage and gains of the MAS to emulate as many of the MODIS spectral channels as possible. With its much higher spatial resolution (50 m vs. 250-1000 m for MODIS), MAS is able to provide unique information on the small-scale distribution of various geophysical parameters. The MAS instrument has been deployed on multiple platforms for many field campaigns since its first mission in 1991, as the prototype Wildfire Spectrometer. For more information and for a list of MAS campaign flights visit ladsweb at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/",
"license": "not-provided"
},
+ {
+ "id": "MASTER_HyspIRI_Summer_2017_1950.v1",
+ "title": "MASTER: HyspIRI Airborne Campaign, California, Summer 2017",
+ "catalog": "ORNL_DAAC",
+ "state_date": "2017-06-07",
+ "end_date": "2017-06-28",
+ "bbox": "-123.75, 31.95, -112.5, 40.98",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2275434743-ORNL_DAAC.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2275434743-ORNL_DAAC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_HyspIRI_Summer_2017_1950.v1",
+ "description": "This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Hyperspectral Infrared Imager (HyspIRI) airborne campaign during 9 flights aboard a NASA ER-2 aircraft over southern California and western Nevada, U.S., from 2017-06-07 to 2017-06-28. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
+ "license": "not-provided"
+ },
+ {
+ "id": "MASTER_SARP_2016_1912.v1.2",
+ "title": "MASTER: Student Airborne Research Program (SARP) campaign, California, USA, 2016",
+ "catalog": "ORNL_DAAC",
+ "state_date": "2016-06-17",
+ "end_date": "2016-06-18",
+ "bbox": "-120.88, 33.56, -118.33, 35.85",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2096395033-ORNL_DAAC.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2096395033-ORNL_DAAC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_SARP_2016_1912.v1.2",
+ "description": "This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument collected and developed by the Student Airborne Research Program (SARP). The spectral data were collected from flights flown on 2016-06-17 in a NASA ER-2 aircraft over Santa Barbara, California. SARP was an eight-week summer program for junior and senior undergraduate students to acquire hands-on research experience in all aspects of a scientific campaign using airborne science laboratories. The SARP 2016 deployment included one flight with 5 flight tracks. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
+ "license": "not-provided"
+ },
+ {
+ "id": "MASTER_SARP_2018_1946.v1",
+ "title": "MASTER: Student Airborne Research Program (SARP) campaign, California, 2018",
+ "catalog": "ORNL_DAAC",
+ "state_date": "2018-06-20",
+ "end_date": "2018-06-28",
+ "bbox": "-120.48, 33.75, -118.85, 34.87",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2275424125-ORNL_DAAC.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2275424125-ORNL_DAAC.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_DAAC/collections/MASTER_SARP_2018_1946.v1",
+ "description": "This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument collected and developed by the Student Airborne Research Program (SARP). The spectral data were collected from flights flown on 2018-06-20 to 2018-06-28 over the Channel Islands and coastline near Santa Barbara, California, U.S., in a NASA ER-2 aircraft. SARP was an eight-week summer program for junior and senior undergraduate students to acquire hands-on research experience in all aspects of a scientific campaign using airborne science laboratories. The SARP 2018 deployment included two flights with 13 flight tracks. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution, and the L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.",
+ "license": "not-provided"
+ },
{
"id": "MCD06COSP_D3_MODIS.v6.2",
"title": "MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid",
@@ -3613,136 +3886,6 @@
"description": "The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) .",
"license": "not-provided"
},
- {
- "id": "PACE_HARP2_L0.v1",
- "title": "PACE HARP2 Level-0 Instrument Telemetry/Multi-Detector Data, 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798249-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798249-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L0.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
- {
- "id": "PACE_HARP2_L0_D1.v1",
- "title": "PACE HARP2 Level-0 Detector 1 (D1) Data, 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798238-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798238-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L0_D1.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
- {
- "id": "PACE_HARP2_L0_D2.v1",
- "title": "PACE HARP2 Level-0 Detector 2 (D2) Data, 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798239-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798239-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L0_D2.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
- {
- "id": "PACE_HARP2_L0_D3.v1",
- "title": "PACE HARP2 Level-0 Detector 3 (D3) Data, 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798240-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798240-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L0_D3.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
- {
- "id": "PACE_HARP2_L0_REAL.v1",
- "title": "PACE HARP2 Level-0 Real-time Direct Transfer Mode Data, 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798243-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798243-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L0_REAL.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
- {
- "id": "PACE_HARP2_L0_SCI.v1",
- "title": "PACE HARP2 Level-0 Science Data, 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798245-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2804798245-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L0_SCI.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
- {
- "id": "PACE_HARP2_L1A_AST0.v1",
- "title": "PACE HARP2 Level-1A Acquisition Scheme Type 0 - Full-Resolution Data, version 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2841266759-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2841266759-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L1A_AST0.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
- {
- "id": "PACE_HARP2_L1A_AST1.v1",
- "title": "PACE HARP2 Level-1A Acquisition Scheme Type 1 - Half-Resolution Data, version 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2841266768-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2841266768-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L1A_AST1.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
- {
- "id": "PACE_HARP2_L1A_AST2.v1",
- "title": "PACE HARP2 Level-1A Acquisition Scheme Type 2 - Science Mode (no MTDI) Data, version 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2841266778-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2841266778-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L1A_AST2.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
- {
- "id": "PACE_HARP2_L1A_AST3.v1",
- "title": "PACE HARP2 Level-1A Acquisition Scheme Type 3 Data, version 1",
- "catalog": "OB_CLOUD",
- "state_date": "2024-03-08",
- "end_date": "",
- "bbox": "-180, -90, 180, 90",
- "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2841266786-OB_CLOUD.json",
- "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2841266786-OB_CLOUD.html",
- "href": "https://cmr.earthdata.nasa.gov/stac/OB_CLOUD/collections/PACE_HARP2_L1A_AST3.v1",
- "description": "The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.",
- "license": "not-provided"
- },
{
"id": "PM1EPHND_NRT.v6.1NRT",
"title": "MODIS/Aqua 24-hour Spacecraft ephemeris/orbit data files to be read via SDP Toolkit Binary Format - NRT",
@@ -4224,6 +4367,19 @@
"description": "This python code uses the Finite Element library FEniCS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format. The dataset contains the code and the output data to reproduce the key Figure 5 from the related publication: _Sch\u00fcrholt, K., Kowalski, J., L\u00f6we, H.; Elements of future snowpack modeling - Part 1: A physical instability arising from the non-linear coupling of transport and phase changes, The Cryosphere, 2022_ The code and potential updates can be accessed directly through git via: https://gitlabext.wsl.ch/snow-physics/snowmodel_fenics",
"license": "not-provided"
},
+ {
+ "id": "a6efcb0868664248b9cb212aba44313d",
+ "title": "ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from MERIS (ALAMO algorithm), Version 2.2",
+ "catalog": "FEDEO",
+ "state_date": "2008-01-01",
+ "end_date": "2008-12-31",
+ "bbox": "-180, -90, 180, 90",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142742-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2548142742-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/a6efcb0868664248b9cb212aba44313d",
+ "description": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 2 aerosol products from MERIS for 2008, using the ALAMO algorithm, version 2.2. The data have been provided by Hygeos.For further details about these data products please see the linked documentation.",
+ "license": "not-provided"
+ },
{
"id": "aamhcpex.v1",
"title": "AAMH CPEX",
@@ -4445,6 +4601,19 @@
"description": "ASTER is capable of collecting in-track stereo using nadir- and aft-looking near infrared cameras. Since 2001, these stereo pairs have been used to produce single-scene (60- x 60-kilomenter (km)) digital elevation models (DEM) having vertical (root-mean-squared-error) accuracies generally between 10- and 25-meters (m). The methodology used by Japan's Sensor Information Laboratory Corporation (SILC) to produce the ASTER GDEM involves automated processing of the entire ASTER Level-1A archive. Stereo-correlation is used to produce over one million individual scene-based ASTER DEMs, to which cloud masking is applied to remove cloudy pixels. All cloud-screened DEMS are stacked and residual bad values and outliers are removed. Selected data are averaged to create final pixel values, and residual anomalies are corrected before partitioning the data into 1 degree (\u00b0) x 1\u00b0 tiles. The ASTER GDEM covers land surfaces between 83\u00b0N and 83\u00b0S and is comprised of 22,702 tiles. Tiles that contain at least 0.01% land area are included. The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude). The data are posted on a 1 arc-second (approximately 30\u2013m at the equator) grid and referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) geoid.",
"license": "not-provided"
},
+ {
+ "id": "b673f41b-d934-49e4-af6b-44bbdf164367",
+ "title": "AVHRR - Land Surface Temperature (LST) - Europe, Daytime",
+ "catalog": "FEDEO",
+ "state_date": "1998-02-23",
+ "end_date": "",
+ "bbox": "-24, 28, 57, 78",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458008-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207458008-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/b673f41b-d934-49e4-af6b-44bbdf164367",
+ "description": "The \"Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)\" is a fixed grid map (in stereographic projection ) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between \u201339.5\u00b0C and +87\u00b0C with a radiometric resolution of 0.5\u00b0C. A value of \u201340\u00b0C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/",
+ "license": "not-provided"
+ },
{
"id": "blue_ice_core_DML2004_AS",
"title": "101.1 m long horizontal blue ice core collected from Scharffenbergbotnen, DML, Antarctica, in 2003/2004",
@@ -4523,6 +4692,19 @@
"description": "The Enhanced Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (eMAS)instrument is maintained and operated by the Airborne Sensor Facility at NASA Ames Research Center in Mountain View, California, under the oversight of the EOS Project Science Office at NASA Goddard. The eMAS instrument is now a 38-channel instrument, sensing in the range from 0.445 to 13.844 um. The Enhanced MODIS Airborne Simulator (eMAS) L2 Cloud Data product (eMASL2CLD) consists of cloud optical and physical parameters. These parameters are derived using remotely sensed infrared and near infrared solar reflected radiances. Multispectral images of the reflectance and brightness temperature at 10 wavelengths between 0.66 and 13.98nm were used to derive the probability of clear sky (or cloud), cloud thermodynamic phase, and the optical thickness and effective radius of liquid water and ice clouds. The eMASL2CLD product files are stored in Hierarchical Data Format (HDF-EOS). All gridded cloud parameters are stored as Scientific Data Sets (SDS) within the file. For more information and for a list of MAS campaign flights visit ladsweb at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/ or, visit the eMAS Homepage at: https://asapdata.arc.nasa.gov/emas/",
"license": "not-provided"
},
+ {
+ "id": "ef6a9266-a210-4431-a4af-06cec4274726",
+ "title": "Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Monographic",
+ "catalog": "FEDEO",
+ "state_date": "2015-02-10",
+ "end_date": "",
+ "bbox": "-25, 30, 45, 80",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207457985-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207457985-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/ef6a9266-a210-4431-a4af-06cec4274726",
+ "description": "Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing. However, this collection contains the monoscopic data.",
+ "license": "not-provided"
+ },
{
"id": "envidat-lwf-34.v2019-03-06",
"title": "10-HS Pfynwald",
@@ -4536,6 +4718,32 @@
"description": "Continuous measurement of soil water content at 10 and 80 cm depth (3 replications) with 10-HS soil moisture probes (Decagon Incorporation, Pullman, WA, USA). ### Purpose: ### Monitoring of the soil water matrix potential ### Paper Citation: ### * Dobbertin, M.; Eilmann, B.; Bleuler, P.; Giuggiola, A.; Graf Pannatier, E.; Landolt, W.; Schleppi, P.; Rigling, A., 2010: Effect of irrigation on needle morphology, shoot and stem growth in a drought-exposed Pinus sylvestris forest. Tree Physiology, 30, 3: 346-360. [doi: 10.1093/treephys/tpp123](http://doi.org/10.1093/treephys/tpp123) ",
"license": "not-provided"
},
+ {
+ "id": "fife_hydrology_strm_15m_1.v1",
+ "title": "15 Minute Stream Flow Data: USGS (FIFE)",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "1984-12-25",
+ "end_date": "1988-03-04",
+ "bbox": "-96.6, 39.1, -96.6, 39.1",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2977827088-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2977827088-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_hydrology_strm_15m_1.v1",
+ "description": "USGS 15 minute stream flow data for Kings Creek on the Konza Prairie",
+ "license": "not-provided"
+ },
+ {
+ "id": "fife_sur_met_rain_30m_2.v1",
+ "title": "30 Minute Rainfall Data (FIFE)",
+ "catalog": "ORNL_CLOUD",
+ "state_date": "1987-05-29",
+ "end_date": "1987-10-26",
+ "bbox": "-96.6, 39.08, -96.55, 39.11",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2977893818-ORNL_CLOUD.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2977893818-ORNL_CLOUD.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/ORNL_CLOUD/collections/fife_sur_met_rain_30m_2.v1",
+ "description": "30 minute rainfall data for the Konza Prairie",
+ "license": "not-provided"
+ },
{
"id": "gov.noaa.nodc:0000029",
"title": "1990, 1991, 1992 and 1995 CRETM/LMER Zooplankton Data Sets (NCEI Accession 0000029)",
@@ -4769,5 +4977,18 @@
"href": "https://cmr.earthdata.nasa.gov/stac/ENVIDAT/collections/pfynwaldgasexchange.v1.0",
"description": "Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds. All metadata can be found in the attached documents.",
"license": "not-provided"
+ },
+ {
+ "id": "urn:ogc:def:EOP:VITO:VGT_S10.v1",
+ "title": "10 Days Synthesis of SPOT VEGETATION Images (VGT-S10)",
+ "catalog": "FEDEO",
+ "state_date": "1998-04-01",
+ "end_date": "2014-05-31",
+ "bbox": "-180, -56, 180, 75",
+ "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.json",
+ "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.html",
+ "href": "https://cmr.earthdata.nasa.gov/stac/FEDEO/collections/urn:ogc:def:EOP:VITO:VGT_S10.v1",
+ "description": "The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3",
+ "license": "not-provided"
}
]
\ No newline at end of file
diff --git a/nasa_cmr_catalog.tsv b/nasa_cmr_catalog.tsv
index 1f32f78df..579cd2432 100644
--- a/nasa_cmr_catalog.tsv
+++ b/nasa_cmr_catalog.tsv
@@ -1,9 +1,12 @@
id title catalog state_date end_date bbox url description license
+0f4324af-fa0a-4aaf-9b97-89a4f3325ce1 DESIS - Hyperspectral Images - Global FEDEO 2018-08-30 -180, -52, 180, 52 https://cmr.earthdata.nasa.gov/search/concepts/C2207458058-FEDEO.json The hyperspectral instrument DESIS (DLR Earth Sensing Imaging Spectrometer) is one of four possible payloads of MUSES (Multi-User System for Earth Sensing), which is mounted on the International Space Station (ISS). DLR developed and delivered a Visual/Near-Infrared Imaging Spectrometer to Teledyne Brown Engineering, which was responsible for integrating the instrument. Teledyne Brown designed and constructed, integrated and tested the platform before delivered to NASA. Teledyne Brown collaborates with DLR in several areas, including basic and applied research for use of data. DESIS is operated in the wavelength range from visible through the near infrared and enables precise data acquisition from Earth's surface for applications including fire-detection, change detection, maritime domain awareness, and atmospheric research. Three product types can be ordered, which are Level 1B (systematic and radiometric corrected), Level 1C (geometrically corrected) and Level 2A (atmospherically corrected). The spatial resolution is about 30m on ground. DESIS is sensitive between 400nm and 1000nm with a spectral resolution of about 3.3nm. DESIS data are delivered in tiles of about 30x30km. For more information concerning DESIS the reader is referred to https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-13614/ not-provided
+11c5f6df1abc41968d0b28fe36393c9d ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from MERIS (ALAMO algorithm), Version 2.2 FEDEO 2008-01-01 2008-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548143004-FEDEO.json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 3 aerosol daily and monthly gridded products from MERIS for 2008, using the ALAMO algorithm, version 2.2. The data have been provided by Hygeos.For further details about these data products please see the linked documentation. not-provided
12-hourly_interpolated_surface_position_from_buoys 12-Hourly Interpolated Surface Position from Buoys SCIOPS 1979-01-01 2009-12-01 -180, 60, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214600619-SCIOPS.json This data set contains Arctic Ocean daily buoy positions interpolated to hours 0Z and 12Z. not-provided
12-hourly_interpolated_surface_velocity_from_buoys 12-Hourly Interpolated Surface Velocity from Buoys SCIOPS 1979-01-01 2009-12-02 -180, 74, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214600621-SCIOPS.json This data set contains 12-hourly interpolated surface velocity data from buoys. Point grid: Latitude 74N to 90N - 4 degree increment Longitude 0E to 320E - 20 and 40 degree increment. not-provided
12_hourly_interpolated_surface_air_pressure_from_buoys 12 Hourly Interpolated Surface Air Pressure from Buoys SCIOPS 1979-01-01 2007-11-30 -180, 70, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1214600618-SCIOPS.json Optimally interpolated atmospheric surface pressure over the Arctic Ocean Basin. Temporal format - twice daily (0Z and 12Z) Spatial format - 2 degree latitude x 10 degree longitude - latitude: 70 N - 90 N - longitude: 0 E - 350 E not-provided
14c_of_soil_co2_from_ipy_itex_cross_site_comparison 14C of soil CO2 from IPY ITEX Cross Site Comparison SCIOPS 2008-01-16 2008-01-21 -157.4, -36.9, 147.29, 71.3 https://cmr.earthdata.nasa.gov/search/concepts/C1214602443-SCIOPS.json Study sites: Toolik Lake Field Station Alaska, USA 68.63 N, 149.57 W; Atqasuk, Alaska USA 70.45 N, 157.40 W; Barrow, Alaska, USA 71.30 N, 156.67 W; Latnjajaure, Sweden 68.35 N, 18.50 E; Falls Creek, Australia: Site 2-unburned 36.90 S 147.29 E; Site 3-burned 36.89 S 147.28 E. Additional sites will be added summer 2008, but the exact sites are not finalized. Purpose: Collect soil CO2 for analysis of radiocarbon to evaluate the age of the carbon respired in controls and warmed plots from across the ITEX network. Treatments: control and ITEX OTC warming experiment (1994-2007). Design: 5 replicates of each treatment at dry site and moist site. Sampling frequency: Once per peak season. not-provided
200708_CEAMARC_CASO_TRACE_ELEMENT_SAMPLES.v1 2007-08 CEAMARC-CASO VOYAGE TRACE ELEMENT SAMPLING AROUND AN ICEBERG AU_AADC 2008-01-01 2008-03-20 139.01488, -67.07104, 150.06479, -42.88246 https://cmr.earthdata.nasa.gov/search/concepts/C1214305618-AU_AADC.json We collected surface seawater samples using trace clean 1L Nalgene bottles on the end of a long bamboo pole. We will analyse these samples for trace elements. Iron is the element of highest interest to our group. We will determine dissolved iron and total dissolvable iron concentrations. Samples collected from 7 sites: Sites 1, 2, 3, 4 were a transect perpendicular to the edge of the iceberg to try and determine if there is a iron concentration gradient relative to the iceberg. Sites 4, 5, 6 were along the edge of the iceberg to determine if there is any spatial variability along the iceberg edge. Site 7 was away from the iceberg to determine what the iron concentration is in the surrounding waters not influenced by the iceberg. not-provided
+2019 Mali CropType Training Data.v1 2019 Mali CropType Training Data MLHUB 2020-01-01 2023-01-01 -6.9444015, 12.8185552, -6.5890481, 13.3734391 https://cmr.earthdata.nasa.gov/search/concepts/C2781412344-MLHUB.json This dataset produced by the NASA Harvest team includes crop types labels from ground referencing matched with time-series of Sentinel-2 imagery during the growing season. Ground reference data are collected using an ODK app. Crop types include Maize, Millet, Rice and Sorghum. Labels are vectorized over the Sentinel-2 grid, and provided as raster files. Funding for this dataset is provided by Lutheran World Relief, Bill & Melinda Gates Foundation, and University of Maryland NASA Harvest program. not-provided
39480 1988 Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve NOAA_NCEI 1988-11-24 1988-11-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2102656753-NOAA_NCEI.json Aerial photographs taken by NOAA's National Geodetic Survey during 1988 were mosaicked and orthorectified by the Biogeography Branch. The resulting image was used to digitize benthic, land cover and mangrove habitat maps of the Salt River Bay National Historic Park and Ecological Preserve (National Park Service), on St. Croix, in the U.S. Virgin Islands.The mosaic is centered on the National Park Service Site, located on the north central coast of St. Croix, and extends beyond the park boundaries approximately 0.5 - 4.0 km. not-provided
39481 1988 Seagrass and Mangrove Habitats of the Salt River Bay National Historical Park and Ecological Preserve NOAA_NCEI 1988-11-24 1988-11-24 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2102656462-NOAA_NCEI.json Habitat maps were created as part of a larger ecological assessment conducted by NOAA's National Ocean Service (NOS), Biogeography Branch, for Salt River Bay National Historic Park and Ecological Preserve (National Park Service).Aerial photographs were obtained for 1988 from the National Geodetic Survey, and were orthorectified by the Biogeography Branch. A classification scheme was set up with 20 benthic habitat types, 19 land cover types, and 13 mangrove habitat types. For this map of seagrass and mangrove habitats during 1988 only the 3 seagrass, and 14 mangrove classification categories were used. These were mapped directly into a GIS system through visual interpretation of orthorectified aerial photographs. not-provided
39482 1992 Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve NOAA_NCEI 1992-01-31 1992-01-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2102656472-NOAA_NCEI.json Aerial photographs taken by NOAA's National Geodetic Survey during 1992 were mosaicked and orthorectified by the Biogeography Branch. The resulting image was used to digitize benthic, land cover and mangrove habitat maps of the Salt River Bay National Historic Park and Ecological Preserve (National Park Service), on St. Croix, in the U.S. Virgin Islands.The mosaic is centered on the National Park Service Site, located on the north central coast of St. Croix, and in some areas extends beyond the park boundaries up to 2 km. not-provided
@@ -16,12 +19,20 @@ id title catalog state_date end_date bbox url description license
3DIMG_L2B_CMK INSAT-3D Imager Level-2B Cloud Map ISRO 2013-10-01 0.843296, -81.04153, 163.15671, 81.04153 https://cmr.earthdata.nasa.gov/search/concepts/C1214622564-ISRO.json INSAT-3D Imager Level-2B Cloud Map Product in HDF-5 Format not-provided
3DIMG_L2B_HEM INSAT-3D Imager Level-2B Precipitation Using Hydroestimator Technique ISRO 2013-10-01 0.843296, -81.04153, 163.15671, 81.04153 https://cmr.earthdata.nasa.gov/search/concepts/C1214622538-ISRO.json INSAT-3D Imager Level-2B Precipitation using Hydroestimator Technique in HDF-5 Format not-provided
3DIMG_L2B_OLR INSAT-3D Imager Level-2B Outgoing Longwave Radiation ISRO 2013-10-01 0.843296, -81.04153, 163.15671, 81.04153 https://cmr.earthdata.nasa.gov/search/concepts/C1214622556-ISRO.json INSAT-3D Imager Level-2B Outgoing Longwave Radation (OLR) in HDF-5 Format not-provided
+3fe263d2-99ed-4751-b937-d26a31ab0606 AVHRR - Vegetation Index (NDVI) - Europe FEDEO 1994-07-01 -24, 28, 57, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2207458021-FEDEO.json "Every day, three successive NOAA-AVHRR scenes are used to derive a synthesis product in stereographic projection known as the ""Normalized Difference Vegetation Index"" for Europe and North Africa. It is calculated by dividing the difference in technical albedos between measurements in the near infrared and visible red part of the spectrum by the sum of both measurements. This value provides important information about the ""greenness"" and density of vegetation. Weekly and monthly thematic synthesis products are also derived from this daily operational product, at each step becoming successively free of clouds. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/" not-provided
+7ae5a791-b667-4838-9733-a44e4cf2d715 Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Stereographic FEDEO 2007-01-05 -25, 30, 45, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2207458042-FEDEO.json Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing. not-provided
+802569b8-fb56-4d78-a2e8-3e4549ff475b AVHRR - Sea Surface Temperature (SST) - Europe FEDEO 1994-08-01 -35, 47.5, 51, 73 https://cmr.earthdata.nasa.gov/search/concepts/C2207458053-FEDEO.json The AVHRR Mulitchannel Sea Surface Temperature Map (MCSST) was the first result of DLR's AVHRR pathfinder activities. The goal of the product is to provide the user with actual Sea Surface Temperature (SST) maps in a defined format easy to access with the highest possible reliability on the thematic quality. After a phase of definition, the operational production chain was launched in March 1993 covering the entire Mediterranean Sea and the Black Sea. Since then, daily, weekly, and monthly data sets have been available until September 13, 1994, when the AVHRR on board the NOAA-11 spacecraft failed. The production of daily, weekly and monthly SST maps was resumed in February, 1995, based on NOAA-14 AVHRR data. The NOAA-14 AVHRR sensor became some technical difficulties, so the generation was stopped on October 3, 2001. Since March 2002, NOAA-16 AVHRR SST maps are available again. With the beginning of January 2004, the data of AVHRR on board of NOAA-16 exhibited some anormal features showing strips in the scenes. Facing the “bar coded” images of NOAA16-AVHRR which occurred first in September 2003, continued in January 2004 for the second time and appeared in April 2004 again, DFD has decided to stop the reception of NOAA16 data on April 6th, 2004, and to start the reception of NOAA-17 data on this day. On April 7th, 2004, the production of all former NOAA16-AVHRR products as e.g. the SST composites was successully established. NOAA-17 is an AM sensor which passes central Europe about 2 hours earlier than NOAA-16 (about 10:00 UTC instead of 12:00 UTC for NOAA-16). In spring 2007, the communication system of NOAA-17 has degraded or is operating with limitations. Therefore, DFD has decided to shift the production of higher level products (NDVI, LST and SST) from NOAA-17 to NOAA-18 in April 2007. In order to test the performance of our processing chains, we processed simultaneously all NOAA-17 and NOAA-18 data from January 1st, 2007 till March 29th, 2007. All products are be available via EOWEB. Please remember that NOAA-18 is a PM sensor which passes central Europe about 1.5 hours later than NOAA-17 (about 11:30 UTC instead of 10:00 UTC for NOAA17). The SST product is intended for climate modelers, oceanographers, and all geo science-related disciplines dealing with ocean surface parameters. In addition, SST maps covering the North Atlantic, the Baltic Sea, the North Sea and the Western Atlantic equivalent to the Mediterranean MCSST maps are available since August 1994. The most important aspects of the MCSST maps are a) correct image registration and b) reasonable cloud screening to ensure that only cloud free pixels are taken for the later processing and compositing c) for deriving MCSST, only channel 4 and 5 are used.. The SST product consists of one 8 bit channel. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/ not-provided
+936b319d-5253-425d-bd29-4b6ebce067ff AVHRR - Land Surface Temperature (LST) - Europe, Nighttime FEDEO 1998-02-23 -24, 28, 57, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2207458046-FEDEO.json "The ""Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)"" is a fixed grid map (in stereographic projection) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between –39.5°C and +87°C with a radiometric resolution of 0.5°C. A value of –40°C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/" not-provided
+A Fusion Dataset for Crop Type Classification in Germany.v1 A Fusion Dataset for Crop Type Classification in Germany MLHUB 2020-01-01 2023-01-01 13.6339485, 52.4179888, 14.3529903, 52.8494418 https://cmr.earthdata.nasa.gov/search/concepts/C2781412484-MLHUB.json This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Brandenburg, Germany. There are nine crop types in this dataset from years 2018 and 2019: Wheat, Rye, Barley, Oats, Corn, Oil Seeds, Root Crops, Meadows, Forage Crops. The 2018 labels from one of the tiles are provided for training, and the 2019 labels from a neighboring tile will be used for scoring in the competition. Input imagery consist of time series of Sentinel-2, Sentinel-1 and Planet Fusion (daily and 5-day composite) data. You can access each source from a different collection. The Planet fusion data are made available under a CC-BY-SA license. As an exception to the AI4EO Terms and Conditions published on the competition website, you confirm, by participating in it, that you agree that your results will be made public under the same, open-source license. not-provided
+A Fusion Dataset for Crop Type Classification in Western Cape, South Africa.v1 A Fusion Dataset for Crop Type Classification in Western Cape, South Africa MLHUB 2020-01-01 2023-01-01 20.5212157, -34.413256, 21.043415, -33.9796334 https://cmr.earthdata.nasa.gov/search/concepts/C2781412697-MLHUB.json This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Western Cape, South Africa. There are five crop types from the year 2017: Wheat, Barely, Canola, Lucerne/Medics, Small grain grazing. The AOI is split to three tiles. Two tiles are provided as training labels, and one tile will be used for scoring in the competition. Input imagery consist of time series of Sentinel-2, Sentinel-1 and Planet Fusion (daily and 5-day composite) data. You can access each source from a different collection. The Planet fusion data are made available under a CC-BY-SA license. As an exception to the AI4EO Terms and Conditions published on the competition website, you confirm, by participating in it, that you agree that your results will be made public under the same, open-source license. The Western Cape Department of Agriculture (WCDoA) vector data are supplied via Radiant Earth Foundation with limited distribution rights. Data supplied by the WCDoA may not be distributed further or used for commercial purposes. The vector data supplied are intended strictly for use within the scope of this remote sensing competition - for the purpose of academic research to our mutual benefit. The data is intended for research purposes only and the WCDoA cannot be held responsible for any errors or omissions which may occur in the data. not-provided
+A crop type dataset for consistent land cover classification in Central Asia.v1 A crop type dataset for consistent land cover classification in Central Asia MLHUB 2020-01-01 2023-01-01 60.2013297, 37.4241018, 72.3539419, 41.8252151 https://cmr.earthdata.nasa.gov/search/concepts/C2781412666-MLHUB.json Land cover is a key variable in the context of climate change. In particular, crop type information is essential to understand the spatial distribution of water usage and anticipate the risk of water scarcity and the consequent danger of food insecurity. This applies to arid regions such as the Aral Sea Basin (ASB), Central Asia, where agriculture relies heavily on irrigation. Here, remote sensing is valuable to map crop types, but its quality depends on consistent ground-truth data. Yet, in the ASB, such data is missing. Addressing this issue, we collected thousands of polygons on crop types, 97.7% of which in Uzbekistan and the remaining in Tajikistan. We collected 8,196 samples between 2015 and 2018, 213 in 2011 and 26 in 2008. Our data compiles samples for 40 crop types and is dominated by “cotton” (40%) and “wheat”, (25%). These data were meticulously validated using expert knowledge and remote sensing data and relied on transferable, open-source workflows that will assure the consistency of future sampling campaigns. not-provided
AAOT.v0 Acqua Alta Oceanographic Tower (AAOT) OB_DAAC 1999-08-03 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360084-OB_DAAC.json Measurements made by the Acqua Alta Oceanographic Tower (AAOT), an Italian installation off the coast of Venice in the Adriatic Sea from 1999 to 2002. not-provided
AAS_4156_Macquarie_Island_Emerald_Lake.v1 12,000 year record of sea spray and minerogenic input from Emerald Lake, Macquarie Island AU_AADC 2012-07-01 2019-06-30 158.77441, -54.77772, 158.94951, -54.4828 https://cmr.earthdata.nasa.gov/search/concepts/C2102891784-AU_AADC.json Reconstructed sea spray and minerogenic data for a 12,000 year lake sediment record from Emerald Lake, Macquarie Island. Proxies are based on biological (diatoms) and geochemical (micro x-ray fluorescence and hyperspectral imaging) indicators. Data correspond to the figures in: Saunders et al. 2018 Holocene dynamics of the Southern Hemisphere westerly winds and possible links to CO2 outgassing. Nature Geoscience 11:650-655. doi.org/10.1038/s41561-018-0186-5. Detailed supplementary information: https://static-content.springer.com/esm/art%3A10.1038%2Fs41561-018-0186-5/MediaObjects/41561_2018_186_MOESM1_ESM.pdf Abstract: The Southern Hemisphere westerly winds (SHW) play an important role in regulating the capacity of the Southern Ocean carbon sink. They modulate upwelling of carbon-rich deep water and, with sea ice, determine the ocean surface area available for air–sea gas exchange. Some models indicate that the current strengthening and poleward shift of these winds will weaken the carbon sink. If correct, centennial- to millennial-scale reconstructions of the SHW intensity should be linked with past changes in atmospheric CO2, temperature and sea ice. Here we present a 12,300-year reconstruction of wind strength based on three independent proxies that track inputs of sea-salt aerosols and minerogenic particles accumulating in lake sediments on sub-Antarctic Macquarie Island. Between about 12.1 thousand years ago (ka) and 11.2 ka, and since about 7 ka, the wind intensities were above their long-term mean and corresponded with increasing atmospheric CO2. Conversely, from about 11.2 to 7.2 ka, the wind intensities were below their long-term mean and corresponded with decreasing atmospheric CO2. These observations are consistent with model inferences of enhanced SHW contributing to the long-term outgassing of CO2 from the Southern Ocean. not-provided
AAS_4156_Macquarie_Island_unnamed_lake.v1 2000 year record of environmental change from an unnamed lake on Macquarie Island AU_AADC 2012-07-01 2019-06-30 158.74969, -54.78485, 158.96118, -54.47004 https://cmr.earthdata.nasa.gov/search/concepts/C2102891849-AU_AADC.json Age-depth and geochemical data for a 2000 year lake sediment record from an unnamed lake on Macquarie Island. The lake is the small lake to the west of Major Lake, on the edge of the Macquarie Island plateau. The chronology is based on lead-210 (last ca. 100 years) and radiocarbon (extending to ca. 2000 years). Geochemistry is based on micro x-ray fluroescence, and carbon, nitrogen and sulphur contents. Grain size and water content were also measured. Data correspond to the publication: Saunders et al. in prep.Southern Hemisphere westerly wind variability in the sub-Antarctic and relationships to mid-latitude precipitation for the last 2000 years not-provided
ABLVIS1B.v1 ABoVE LVIS L1B Geolocated Return Energy Waveforms V001 NSIDC_ECS 2017-06-29 2017-07-17 -158, 48, -104, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1513105920-NSIDC_ECS.json This data set contains return energy waveform data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE). not-provided
ABLVIS2.v1 ABoVE LVIS L2 Geolocated Surface Elevation Product V001 NSIDC_ECS 2017-06-29 2017-07-17 -158, 48, -104, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1513105984-NSIDC_ECS.json This data set contains surface elevation data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE). not-provided
ABOLVIS1A.v1 ABoVE LVIS L1A Geotagged Images V001 NSIDC_ECS 2017-06-29 2017-07-17 -158, 48, -104, 72 https://cmr.earthdata.nasa.gov/search/concepts/C1673546369-NSIDC_ECS.json This data set contains geotagged images collected over Alaska and Western Canada. The images were taken by the NASA Digital Mapping Camera, paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE). not-provided
+ABoVE_Concise_Experiment_Plan_1617.v1.1 A Concise Experiment Plan for the Arctic-Boreal Vulnerability Experiment ORNL_CLOUD 2014-01-01 2021-12-31 -176.12, 39.42, -66.92, 81.61 https://cmr.earthdata.nasa.gov/search/concepts/C2162145735-ORNL_CLOUD.json This document presents the Concise Experiment Plan for NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) to serve as a guide to the Program as it identifies the research to be conducted under this study. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite remote sensing, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications. The ABoVE Concise Experiment Plan (ACEP) outlines the conceptual basis for the Field Campaign and expresses the compelling rationale explaining the scientific and societal importance of the study. It presents both the science questions driving ABoVE research as well as the top-level requirements for a study design to address them. not-provided
ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data.v1 ACCLIP WB-57 Aerosol and Cloud Remotely Sensed Data LARC_ASDC 2022-07-14 2022-09-14 -180, 16.6, 180, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2655162569-LARC_ASDC.json ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data is the cloud and aerosol remote sensing data from the Roscoe lidar collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere. not-provided
ACCLIP_Aerosol_AircraftInSitu_WB57_Data.v1 ACCLIP WB-57 Aircraft In-Situ Aerosol Data LARC_ASDC 2022-07-14 2022-09-14 -180, 16.6, 180, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2609962127-LARC_ASDC.json ACCLIP_Aerosol_AircraftInSitu_WB57_Data is the in-situ aerosol data collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Particle Analysis by Laser Mass Spectrometry - Next Generation (PALMS-NG), Single Particle Soot Photometer (SP2), Nucleation-Mode Aerosol Size Spectrometer (N-MASS), Printed Optical Particle Spectrometer (POPS), and the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere. not-provided
ACCLIP_AircraftInSitu_WB57_Water_Data.v1 ACCLIP WB-57 Aircraft Water In-situ Data LARC_ASDC 2022-07-14 2022-09-14 -180, 16.6, 180, 61.5 https://cmr.earthdata.nasa.gov/search/concepts/C2609920136-LARC_ASDC.json ACCLIP_AircraftInSitu_WB57_Water_Data is the in-situ water data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Chicago Water Isotope Spectrometer (ChiWIS) is featured in this collection. Data collection for this product is complete. ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere. not-provided
@@ -110,6 +121,14 @@ AST_L1AE.v003 ASTER Expedited L1A Reconstructed Unprocessed Instrument Data V003
AST_L1BE.v003 ASTER Expedited L1B Registered Radiance at the Sensor V003 LPDAAC_ECS 2000-03-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C179460406-LPDAAC_ECS.json The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Expedited Level 1B Registered Radiance at the Sensor global data product is radiometrically calibrated and geometrically co-registered. Application of intra-telescope and inter-telescope registration corrections for all bands are relative to the reference band for each telescope: Visible and Near Infrared (VNIR) Band 2, Shortwave Infrared (SWIR) Band 6, and Thermal Infrared (TIR) Band 11. The Expedited Level 1B data product is similar to the (AST_L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) with a few notable exceptions. These include: * The AST_L1BE is available for download within 48 hours of acquisition in support of field calibration and validation efforts, in addition to emergency response for natural disasters where the quick turn-around time from acquisition to availability would prove beneficial in initial damage or impact assessments. * The registration quality of the AST_L1BE is likely to be lower than the AST_L1B, and may vary from scene to scene. * The AST_L1BE dataset does not contain the VNIR 3B (aft-viewing) Band. * This dataset does not have short-term calibration for the Thermal Infrared (TIR) sensor. not-provided
ATL02.v006 ATLAS/ICESat-2 L1B Converted Telemetry Data V006 NSIDC_CPRD 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.json This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations. not-provided
ATL03.v006 ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006 NSIDC_CPRD 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.json This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03. not-provided
+ATL04.v006 ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006 NSIDC_CPRD 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.json ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. not-provided
+ATL06.v006 ATLAS/ICESat-2 L3A Land Ice Height V006 NSIDC_CPRD 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.json This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. not-provided
+ATL07.v006 ATLAS/ICESat-2 L3A Sea Ice Height V006 NSIDC_CPRD 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.json The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. not-provided
+ATL08.v006 ATLAS/ICESat-2 L3A Land and Vegetation Height V006 NSIDC_CPRD 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.json This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. not-provided
+ATL09.v006 ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006 NSIDC_CPRD 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.json This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. not-provided
+ATL10.v006 ATLAS/ICESat-2 L3A Sea Ice Freeboard V006 NSIDC_CPRD 2018-10-14 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.json This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. not-provided
+ATL12.v006 ATLAS/ICESat-2 L3A Ocean Surface Height V006 NSIDC_CPRD 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2613553216-NSIDC_CPRD.json This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. not-provided
+ATL13.v006 ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006 NSIDC_CPRD 2018-10-13 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.json This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit). not-provided
ATSMIGEO.v002 MISR Geometric Parameters subset for the ARCTAS region V002 LARC 2008-04-02 2008-07-24 -157, 54, -110, 71 https://cmr.earthdata.nasa.gov/search/concepts/C1000000541-LARC.json This file contains the Geometric Parameters subset for the ARCTAS region which measures the sun and view angles at the reference ellipsoid not-provided
ATom_AMP_Instrument_Data_1671.v1 ATom: L2 In Situ Measurements of Aerosol Microphysical Properties (AMP) ORNL_DAAC 2016-07-29 2018-05-21 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1619764458-ORNL_DAAC.json This dataset provides the number, surface area, and volume concentrations and size distributions of dry aerosol particles measured by the Aerosol Microphysical Properties (AMP) instrument package during airborne campaigns conducted by NASA's Atmospheric Tomography (ATom) mission. Five instruments--two nucleation-mode aerosol size spectrometers (NMASS), two ultra-high sensitivity aerosol spectrometers (UHSAS), and a laser aerosol spectrometer (LAS)--comprise the AMP package. The AMP payload provides size distributions with up to one-second time resolution for dry aerosol particles between 0.003 and 4.8 microns in diameter. not-provided
AU_DySno_NRT_R02.v2 NRT AMSR2 Unified L3 Global Daily 25 km EASE-Grid Snow Water Equivalent V2 LANCEAMSR2 2021-04-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2052622563-LANCEAMSR2.json The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Global Daily Snow Water Equivalent data set contains snow water equivalent (SWE) data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids). Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/daysnow/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. not-provided
@@ -124,6 +143,8 @@ AU_SI6_NRT_R04.v4 NRT AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Bright
AVHRR_GLOBAL_10-DAY_COMPOSITES AVHRR 1-km Global Land 10-Day Composites USGS_LTA 1992-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566288-USGS_LTA.json The Advanced Very High Resolution Radiometer (AVHRR) 1-km Global Land 10-Day Composites data set project is a component of the National Aeronautics and Space Administration (NASA) AVHRR Pathfinder Program. The project is a collaborative effort between the National Oceanic and Atmospheric Administration (NOAA), NASA, the U.S. Geological Survey (USGS), the European Space Agency (ESA), Australia's Commonwealth Scientific and Industrial Research Organization (CSIRO), and 30 international ground receiving stations. The project represents an international effort to archive and distribute the 1-km AVHRR composites of the entire global land surface to scientific researchers and to the general public. The data set is comprised of a time series of global 10-day normalized difference vegetation index composites. The composites are generated from radiometrically calibrated, atmospherically corrected, and geometrically corrected daily AVHRR observations. The time series begins in April 1992 and continues for specific time periods. not-provided
AVHRR_ORBITAL_SEGMENTS AVHRR 1-km Orbital Segments USGS_LTA 1992-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566340-USGS_LTA.json The Advanced Very High Resolution Radiometer (AVHRR) 1-km Orbital Segments data set is a component of the National Aeronautics and Space Administration (NASA) AVHRR Pathfinder Program and contains global coverage of land masses at 1-kilometer resolution. The data set is the result of an international effort to acquire, process, and distribute AVHRR data of the entire global land surface to meet the needs of the international science community. The orbital segments are comprised of raw AVHRR scenes consisting of 5-channel, 10-bit, AVHRR data at 1.1-km resolution at nadir. The raw data are used to produce vegetation index composites; to support fire detection and cloud screening activities; to support research in atmospheric correction; to develop algorithms; and to support a host of research activities that may require the inclusion of raw AVHRR data. not-provided
Active_Fluorescence_2001.v0 Active fluorescence measurements in the Gulf Stream in 2001 OB_DAAC 2001-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360093-OB_DAAC.json Measurements in the Gulf Stream off the East Coast of the US in 2001 not-provided
+AgriFieldNet Competition Dataset.v1 AgriFieldNet Competition Dataset MLHUB 2020-01-01 2023-01-01 76.2448319, 18.9414403, 88.0460054, 28.3269976 https://cmr.earthdata.nasa.gov/search/concepts/C2781412563-MLHUB.json This dataset contains crop types of agricultural fields in four states of Uttar Pradesh, Rajasthan, Odisha and Bihar in northern India. There are 13 different classes in the dataset including Fallow land and 12 crop types of Wheat, Mustard, Lentil, Green pea, Sugarcane, Garlic, Maize, Gram, Coriander, Potato, Bersem, and Rice. The dataset is split to train and test collections as part of the AgriFieldNet India Competition. Ground reference data for this dataset is collected by IDinsight’s [Data on Demand](https://www.idinsight.org/services/data-on-demand/) team. Radiant Earth Foundation carried out the training dataset curation and publication. This training dataset is generated through a grant from the Enabling Crop Analytics at Scale ([ECAAS](https://cropanalytics.net/)) Initiative funded by [The Bill & Melinda Gates Foundation](https://www.gatesfoundation.org/) and implemented by [Tetra Tech](https://www.tetratech.com/). not-provided
+BigEarthNet.v1 BigEarthNet MLHUB 2020-01-01 2023-01-01 -9.0002335, 36.9569567, 31.5984391, 68.021682 https://cmr.earthdata.nasa.gov/search/concepts/C2781412035-MLHUB.json BigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of 590,326 Sentinel-2 image patches. To construct BigEarthNet, 125 Sentinel-2 tiles acquired between June 2017 and May 2018 over the 10 countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) of Europe were initially selected. All the tiles were atmospherically corrected by the Sentinel-2 Level 2A product generation and formatting tool (sen2cor). Then, they were divided into 590,326 non-overlapping image patches. Each image patch was annotated by the multiple land-cover classes (i.e., multi-labels) that were provided from the CORINE Land Cover database of the year 2018 (CLC 2018). not-provided
C1_PANA_STUC00GTD.v1 Cartosat-1 PANA Standard Products ISRO 2005-08-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1293271378-ISRO.json This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products. not-provided
C1_PANF_STUC00GTD.v1 Cartosat-1 PANF Standard Products ISRO 2005-08-05 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1293271427-ISRO.json This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc. Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit products. not-provided
CDDIS MEASURES products strain rate grids.v1 CDDIS SESES MEaSUREs products strain rate grids CDDIS 1992-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2978524117-CDDIS.json Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. not-provided
@@ -151,11 +172,16 @@ CIESIN_SEDAC_ESI_2005.v2005.00 2005 Environmental Sustainability Index (ESI) SED
CIESIN_SEDAC_USPAT_USUEXT2015.v1.00 2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods SEDAC 2015-01-01 2015-12-31 -180, -56, 180, 84 https://cmr.earthdata.nasa.gov/search/concepts/C1648035940-SEDAC.json The 2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods data set models urban settlements in the Continental United States (CONUS) as of 2015. When applied to the combination of daytime spectral and nighttime lights satellite data, the machine learning methods achieved high accuracy at an intermediate-resolution of 500 meters at large spatial scales. The input data for these models were two types of satellite imagery: Visible Infrared Imaging Radiometer Suite (VIIRS) Nighttime Light (NTL) data from the Day/Night Band (DNB), and Moderate Resolution Imaging Spectroradiometer (MODIS) corrected daytime Normalized Difference Vegetation Index (NDVI). Although several machine learning methods were evaluated, including Random Forest (RF), Gradient Boosting Machine (GBM), Neural Network (NN), and the Ensemble of RF, GBM, and NN (ESB), the highest accuracy results were achieved with NN, and those results were used to delineate the urban extents in this data set. not-provided
CLDMSK_L2_VIIRS_NOAA20_NRT.v1 VIIRS/NOAA-20 Cloud Mask L2 6-Min Swath 750m (NRT) ASIPS 2020-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2003160566-ASIPS.json The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_NOAA20_NRT is the shortname for the NOAA-20 VIIRS Near Real-time incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the NOAA-20 VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the NOAA-20 VIIRS L2 Cloud mask is 750 meters. not-provided
CLDMSK_L2_VIIRS_SNPP_NRT.v1 VIIRS/SNPP Cloud Mask L2 6-Min Swath 750m (NRT) ASIPS 2019-04-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1607563719-ASIPS.json The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_SNPP is the shortname for the SNPP VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the SNPP VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the SNPP VIIRS L2 Cloud mask is 750 meters. not-provided
+CSU Synthetic Attribution Benchmark Dataset.v1 CSU Synthetic Attribution Benchmark Dataset MLHUB 2020-01-01 2023-01-01 -179.5, -89.5, 179.5, 89.5 https://cmr.earthdata.nasa.gov/search/concepts/C2781411899-MLHUB.json This is a synthetic dataset that can be used by users that are interested in benchmarking methods of explainable artificial intelligence (XAI) for geoscientific applications. The dataset is specifically inspired from a climate forecasting setting (seasonal timescales) where the task is to predict regional climate variability given global climate information lagged in time. The dataset consists of a synthetic input X (series of 2D arrays of random fields drawn from a multivariate normal distribution) and a synthetic output Y (scalar series) generated by using a nonlinear function F: R^d -> R.
The synthetic input aims to represent temporally independent realizations of anomalous global fields of sea surface temperature, the synthetic output series represents some type of regional climate variability that is of interest (temperature, precipitation totals, etc.) and the function F is a simplification of the climate system.
Since the nonlinear function F that is used to generate the output given the input is known, we also derive and provide the attribution of each output value to the corresponding input features. Using this synthetic dataset users can train any AI model to predict Y given X and then implement XAI methods to interpret it. Based on the “ground truth” of attribution of F the user can assess the faithfulness of any XAI method.
NOTE: the spatial configuration of the observations in the NetCDF database file conform to the planetocentric coordinate system (89.5N - 89.5S, 0.5E - 359.5E), where longitude is measured in the positive heading east from the prime meridian. not-provided
+CV4A Kenya Crop Type Competition.v1 CV4A Kenya Crop Type Competition MLHUB 2020-01-01 2023-01-01 34.0220685, 0.1670219, 34.38443, 0.7160466 https://cmr.earthdata.nasa.gov/search/concepts/C2781412688-MLHUB.json This dataset was produced as part of the [Crop Type Detection competition](https://zindi.africa/competitions/iclr-workshop-challenge-2-radiant-earth-computer-vision-for-crop-recognition) at the [Computer Vision for Agriculture (CV4A) Workshop](https://www.cv4gc.org/cv4a2020/) at the ICLR 2020 conference. The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 satellites.
The ground reference data were collected by the PlantVillage team, and Radiant Earth Foundation curated the training dataset after inspecting and selecting more than 4,000 fields from the original ground reference data. The dataset has been split into training and test sets (3,286 in the train and 1,402 in the test).
The dataset is cataloged in four tiles. These tiles are smaller than the original Sentinel-2 tile that has been clipped and chipped to the geographical area that labels have been collected.
Each tile has a) 13 multi-band observations throughout the growing season. Each observation includes 12 bands from Sentinel-2 L2A product, and a cloud probability layer. The twelve bands are [B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B11, B12]. The cloud probability layer is a product of the Sentinel-2 atmospheric correction algorithm (Sen2Cor) and provides an estimated cloud probability (0-100%) per pixel. All of the bands are mapped to a common 10 m spatial resolution grid.; b) A raster layer indicating the crop ID for the fields in the training set; and c) A raster layer indicating field IDs for the fields (both training and test sets). Fields with a crop ID of 0 are the test fields. not-provided
CWIC_REG.v1.0 Radarsat-2 Scenes, Natural Resources Canada CCMEO 2008-04-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2204659831-CCMEO.json The collection represents browse images and metadata for systematically georeferenced Radarsat-2 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog http://neodf.nrcan.gc.ca OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. The imaging frequency is C Band SAR : 5405.0000 MHz. RADARSAT-2 is in a polar, sun-synchronous orbit with a period of approximately 101 minutes. The RADARSAT-2 orbit will be maintained at +\/- 1 km in across track direction. This orbit maintenance is suitable for InSAR data collection. The geo-location accuracy of RADARSAT-2 products varies with product type. It is currently estimated at +\/- 30 m for Standard beam products. The revisit period for RADARSAT-2 depends on the beam mode, incidence angle and geographic location of the area of interest. In general, revisit is more frequent at the poles than the equator and the wider swath modes have higher revisit than t he narrow swath modes. not-provided
CWIC_REG_RCM.v1.0 RCM (Radarsat Constellation Mission ) Products, Natural Resources Canada CCMEO 2019-06-12 2026-06-12 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2204659595-CCMEO.json The collection represents products and metadata for georeferenced Radarsat Constellation Mission ( RCM ) satellite scenes. Metadata discovery and product ordering is achieved using the online catalog https://www.eodms-sgdot.nrcan-rncan.gc.ca/index-en.html OR by using the CWIC OpenSearch OSDD : http://cwic.csiss.gmu.edu/cwicv1/discovery. not-provided
CWIC_REG_Radarsat-1.v1.0 Radarsat-1 Scenes, Natural Resources Canada CCMEO 1996-01-11 2013-03-29 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2204658925-CCMEO.json The collection represents browse images and metadata for systematically georeferenced Radarsat-1 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog https://neodf.nrcan.gc.ca/neodf_cat3 OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. Radarsat-1 operates at 5.3 GHz. (C-Band). It is in a sun-synchronous orbit. Image resolution is in the range 8-100 meters. not-provided
Catlin_Arctic_Survey.v0 2011 R/V Catlin cruise in the Arctic Ocean OB_DAAC 2011-03-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360181-OB_DAAC.json Measurements made in the Arctic Ocean by the RV Catlin in 2011. not-provided
+Chesapeake Land Cover.v1 Chesapeake Land Cover MLHUB 2020-01-01 2023-01-01 -80.8092703, 36.5643108, -74.2529408, 43.9973515 https://cmr.earthdata.nasa.gov/search/concepts/C2781412641-MLHUB.json This dataset contains high-resolution aerial imagery from the USDA NAIP program, high-resolution land cover labels from the Chesapeake Conservancy, low-resolution land cover labels from the USGS NLCD 2011 dataset, low-resolution multi-spectral imagery from Landsat 8, and high-resolution building footprint masks from Microsoft Bing, formatted to accelerate machine learning research into land cover mapping. The Chesapeake Conservancy spent over 10 months and $1.3 million creating a consistent six-class land cover dataset covering the Chesapeake Bay watershed. While the purpose of the mapping effort by the Chesapeake Conservancy was to create land cover data to be used in conservation efforts, the same data can be used to train machine learning models that can be applied over even wider areas. not-provided
+Cloud to Street - Microsoft flood dataset.v1 Cloud to Street - Microsoft flood dataset MLHUB 2020-01-01 2023-01-01 -96.631888, -25.250962, 141.118143, 48.745167 https://cmr.earthdata.nasa.gov/search/concepts/C2781412798-MLHUB.json The C2S-MS Floods Dataset is a dataset of global flood events with labeled Sentinel-1 & Sentinel-2 pairs. There are 900 sets (1800 total) of near-coincident Sentinel-1 and Sentinel-2 chips (512 x 512 pixels) from 18 global flood events. Each chip contains a water label for both Sentinel-1 and Sentinel-2, as well as a cloud/cloud shadow mask for Sentinel-2. The dataset was constructed by Cloud to Street in collaboration with and funded by the Microsoft Planetary Computer team. not-provided
DLG100K 1:100,000-scale Digital Line Graphs (DLG) from the U.S. Geological Survey USGS_LTA 1987-06-19 -126, 24, -66, 49 https://cmr.earthdata.nasa.gov/search/concepts/C1220566434-USGS_LTA.json Digital line graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1: 100,000 are used. Intermediate-scale DLG's are sold in five categories: (1) Public Land Survey System; (2) boundaries (3) transportation; (4) hydrography; and (5) hypsography. All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks. not-provided
+Daymet_V4_Daily_MonthlyLatency_1904.v1 Daymet Version 4 Monthly Latency: Daily Surface Weather Data ORNL_DAAC 2021-01-01 2023-03-31 -178.13, 14.07, -53.06, 83.2 https://cmr.earthdata.nasa.gov/search/concepts/C2060950385-ORNL_DAAC.json This dataset provides Daymet Version 4 daily data on a monthly cycle as 1-km gridded estimates of daily weather variables for minimum temperature (tmin), maximum temperature (tmax), precipitation (prcp), shortwave radiation (srad), vapor pressure (vp), snow water equivalent (swe), and day length. Data are derived from the Daymet version 4 software where the primary inputs are daily observations of near-surface maximum and minimum air temperature and daily total precipitation from weather stations. The main algorithm to estimate primary Daymet variables (tmax, tmin, and prcp) at each Daymet grid is based on a combination of interpolation and extrapolation, using inputs from multiple weather stations and weights that reflect the spatial and temporal relationships between a Daymet grid and the surrounding weather stations. Secondary variables (srad, vp, and swe) are derived from the primary variables (tmax, tmin, and prcp) based on atmospheric theory and empirical relationships. The day length (dayl) estimate is based on geographic location and time of year. Data are available for the Continental North America, Puerto Rico, and Hawaii as separate spatial layers in a Lambert Conformal Conic projection and are distributed in standardized Climate and Forecast (CF)-compliant netCDF file formats. not-provided
E06_OCM_GAC_STGO00GND.v1.0 EOS-06 OCM Global Area Coverage (GAC) - 1080m resolution Standard Products - Oceansat Series ISRO 2023-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2866789316-ISRO.json The main objectives of E06 are to study surface winds and ocean surface strata, observation of chlorophyll concentrations, monitoring of phytoplankton blooms, study of atmospheric aerosols and suspended sediments in the water. This has global coverage for every 2 days and sun glint free data for every 13 days. not-provided
E06_OCM_LAC_STGO00GND.v1.0 EOS-06 OCM Local Area Coverage (LAC) - 366m Resolution Standard Products - Oceansat Series ISRO 2023-04-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2866790547-ISRO.json The main objectives of E06 are to study surface winds and ocean surface strata, observation of chlorophyll concentrations, monitoring of phytoplankton blooms, study of atmospheric aerosols and suspended sediments in the water. not-provided
EARTH_LAND_USGS_AMES_AIR_PHOTOS Aerial Photographs (from AMES Pilot Land Data System); USGS EDC, Sioux Falls USGS_LTA 1970-01-01 -180, 20, -60, 50 https://cmr.earthdata.nasa.gov/search/concepts/C1220566371-USGS_LTA.json "The aerial photography inventoried by the Pilot Land Data System (PLDS) at NASA AMES Research Center has been transferred to the USGS EROS Data Center. The photos were obtained from cameras mounted on high and medium altitude aircraft based at the NASA Ames Research Center. Several cameras with varying focal lengths, lenses and film formats are used, but the Wild RC-10 camera with a focal length of 152 millimeters and a 9 by 9 inch film format is most common. The positive transparencies are typically used for ancillary ground checks in conjunctions with digital processing for the same sites. The aircraft flights, specifically requested by scientists performing approved research, often simultaneously collect data using other sensors on board (e.g. Thematic Mapper Simulators (TMS) and Thermal Infrared Multispectral Scanners). High altitude color infrared photography is used regularly by government agencies for such applications as crop yield forecasting, timber inventory and defoliation assessment, water resource management, land use surveys, water pollution monitoring, and natural disaster assessment. To order, specify the latitude and longitude of interest. You will then be given a list of photos available for that location. In some cases, ""flight books"" are available at EDC that describe the nature of the mission during which the photos were taken and other attribute information. The customer service personnel have access to these books for those photo sets for which the books exist." not-provided
@@ -167,25 +193,10 @@ ECO_L3G_SEB.v002 ECOSTRESS Gridded Surface Energy Balance Instantaneous L3 Globa
ECO_L3G_SM.v002 ECOSTRESS Gridded Downscaled Soil Moisture Instantaneous L3 Global 70 m V002 LPCLOUD 2018-07-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2074890845-LPCLOUD.json The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found on the ECOSTRESS website. The ECOSTRESS Gridded Downscaled Soil Moisture Instantaneous L3 Global 70 m (ECO_L3G_SM) Version 2 data product provides instantaneous soil moisture (SM) estimates downscaled using linear regression. The linear regression uses up-sampled surface temperature (ST), normalized difference vegetation index (NDVI), and albedo as predictor variables and SM from Goddard Earth Observing System Version 5 (GEOS-5) Forward Processing (FP) as response variables for their relative outputs. Once the regression coefficients have been determined, they are applied to the 70 meter (m) ST, NDVI, and albedo as a first pass, which is then bias corrected using a GEOS-5 FP image. This data product is mosaicked from the L3 tiled SM (ECO_L3T_SM) product, is projected to a globally snapped 0.0006° grid, and has a spatial resolution of 70 m. The ECO_L3G_SM Version 2 data product contains three layers distributed in an HDF5 file including SM, cloud mask, and water mask. Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU, and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach, only Thermal Infrared (TIR) bands 2, 4, and 5 are being downloaded. The data products are the same as before, but the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023. *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected. *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods. not-provided
EN1_MDSI_MER_FRS_1P.v4 Full Resolution Full Swath Geolocated and Calibrated TOA Radiance LAADS 2002-05-17 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2151211533-LAADS.json The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012. The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_1P is the short-name for the MERIS Level-1 full resolution, full swath, geolocated and calibrated top-of-atmosphere (TOA) radiance product. This product contains the TOA upwelling spectral radiance measurements. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance for each pixel. Each pixel’s in-band solar irradiance is computed by integrating the reference solar spectrum with the band-pass of each pixel. The Level-1 product contains 22 data files: 15 files contain radiances for each band (one band per file) along with associated error estimates, and 7 annotation data files. It also includes a Manifest file that provides metadata information describing the product. not-provided
EN1_MDSI_MER_FRS_2P.v4 Full Resolution Full Swath Geophysical Product for Ocean, Land and Atmosphere LAADS 2003-01-01 2012-04-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2151219110-LAADS.json The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012. The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_2P is the short-name for the MERIS Level-2 full resolution, geophysical product for ocean, land, and atmosphere. This Level-2 product comes in a netCDF4 package that contains both instrument and science measurements, and a Manifest file that provides metadata information describing the product. Each Level-2 product contains 64 measurement files that break down thus: 13 files containing water-leaving reflectance, 13 files containing land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measuring atmospheric gas - M11 and M15), and several files containing additional measurements on ocean, land, and atmosphere parameters. not-provided
-EO:EUM:CM:METOP:ASCSZFR02.v2014-10-07 ASCAT L1 SZF Climate Data Record Release 2 - Metop EUMETSAT 2007-01-01 2014-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.json Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at full resolution (SZF). Normalized radar cross section (NRCS) of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at 12.5 and 25 km Swath Grids. This is a Fundamental Climate Data Record (FCDR). not-provided
-EO:EUM:CM:METOP:ASCSZOR02.v2014-10-07 ASCAT L1 SZO Climate Data Record Release 2 - Metop EUMETSAT 2007-01-01 2014-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901391-EUMETSAT.json Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 25 km Swath Grid (SZO). Normalized radar cross section (NRCS) triplets of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at full resolution and at 12.5 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). not-provided
-EO:EUM:CM:METOP:ASCSZRR02.v2014-10-07 ASCAT L1 SZR Climate Data Record Release 2 - Metop EUMETSAT 2007-01-01 2014-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901394-EUMETSAT.json Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 12.5 km Swath Grid (SZR). Normalized radar cross section (NRCS) triplets of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at full resolution and at 25 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). not-provided
-EO:EUM:CM:MSG:MSGASRE0100.v2015-06-01 All-Sky Radiances - MSG - 0 degree (CF-015 Release 1) EUMETSAT 2004-03-01 2012-12-31 -79, -81, 79, 81 https://cmr.earthdata.nasa.gov/search/concepts/C1588876447-EUMETSAT.json This is the first release of the reprocessed SEVIRI All-Sky Radiances (ASR) product. The ASR product contains information on mean brightness temperatures (16x16 pixels so around 50km at nadir) from all thermal (e.g. infrared and water vapour) channels. It includes both clear and cloudy sky brightness temperatures. The ASR product also contains the fraction of clear sky and the solar zenith angle. The final ASR product is BUFR encoded 3-hourly at every third quarter of the hour (e.g. 00:45, 01:45 ...).Note that the reprocessing was done using the latest version of the EUMETSAT software (Version 1.5.3, 2013) ingesting original level 1.5 SEVIRI images and the ECMWF ERA-interim as a as a forecast input re-analysis data. not-provided
-EO:EUM:DAT:METOP:ASCSZF1B.v2010-09-21 ASCAT GDS Level 1 Sigma0 at Full Sensor Resolution - Metop EUMETSAT 2007-05-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901397-EUMETSAT.json The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product consists of geo-located radar backscatter values along the six ASCAT beams. The different beam measurements are not collocated into a regular swath grid and the individual measurements are not spatially averaged. The resolution of each of the 255 backscatter values per each beam varies slightly along the beam, but it is approximately 10km (in the along beam direction) x 25 km (across the beam). This product is usually referred to as 'ASCAT Level 1B Full resolution product'. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. not-provided
-EO:EUM:DAT:METOP:ASCSZO1B.v2010-09-21 ASCAT GDS Level 1 Sigma0 resampled at 25 km Swath Grid - Metop EUMETSAT 2007-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901403-EUMETSAT.json The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 25 km Swath Grid'. not-provided
-EO:EUM:DAT:METOP:ASCSZR1B.v2010-09-21 ASCAT GDS Level 1 Sigma0 resampled at 12.5 km Swath Grid - Metop EUMETSAT 2007-03-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901400-EUMETSAT.json The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 12.5 km Swath Grid'. not-provided
-EO:EUM:DAT:METOP:OSI-104.v2011-09-28 ASCAT Coastal Winds at 12.5 km Swath Grid - Metop EUMETSAT 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901378-EUMETSAT.json Equivalent neutral 10m winds over the global oceans, with specific sampling to provide as many observations as possible near the coasts. Better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B). not-provided
-EO:EUM:DAT:METOP:SOMO12.v2010-06-21 ASCAT Soil Moisture at 12.5 km Swath Grid - Metop EUMETSAT 2007-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901376-EUMETSAT.json The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. not-provided
-EO:EUM:DAT:METOP:SOMO25.v2010-06-21 ASCAT Soil Moisture at 25 km Swath Grid - Metop EUMETSAT 2007-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1588901374-EUMETSAT.json The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. not-provided
-FIFE_BRUT_SON_15.v1 Atmospheric Profiles: Brutsaert (FIFE) ORNL_DAAC 1987-05-26 1989-08-12 -96.56, 39.12, -96.56, 39.12 https://cmr.earthdata.nasa.gov/search/concepts/C179002837-ORNL_DAAC.json Radiosonde observations from Wilf Brutsaert not-provided
-FIFE_LIDAR_HT_17.v1 Boundary Layer Heights: LIDAR (FIFE) ORNL_DAAC 1987-06-30 1989-10-31 -96.54, 39.07, -96.54, 39.07 https://cmr.earthdata.nasa.gov/search/concepts/C179003412-ORNL_DAAC.json Height of the mixed layer gas for each LIDAR shot in volume scan, then averaged not-provided
-FIFE_NOAA_TOV_16.v1 Atmospheric Profiles: TOVS - NOAA (FIFE) ORNL_DAAC 1987-01-01 1987-12-31 -102, 37, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179003142-ORNL_DAAC.json TOVS data received by FIFE not-provided
-FIFE_SF30_BRG_20.v1 Bowen Ratio Surface Flux: GSFC (FIFE) ORNL_DAAC 1987-05-26 1987-10-16 -96.61, 38.98, -96.45, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C179003284-ORNL_DAAC.json Surface flux measurements by Bowen Ratio technique during FIFE not-provided
-FIFE_SF30_BRK_21.v1 Bowen Ratio Surface Flux: KSU (FIFE) ORNL_DAAC 1987-05-29 1989-08-13 -96.61, 38.98, -96.45, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C179002962-ORNL_DAAC.json Assessing the effects of annual burning & topography on surface energy exchanges not-provided
-FIFE_SF30_BRL_19.v1 Bowen Ratio Surf. Flux: Fritschen (FIFE) ORNL_DAAC 1987-05-26 1989-08-14 -96.61, 38.98, -96.45, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C179003377-ORNL_DAAC.json Evaluation of surface radiation and energy budget stations for FIFE not-provided
-FIFE_SF30_BRS_22.v1 Bowen Ratio Surface Flux: Smith (FIFE) ORNL_DAAC 1987-05-27 1989-08-13 -96.61, 38.98, -96.45, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C179003349-ORNL_DAAC.json Retrieval of surface fluxes from a combination of satellite & surface platforms not-provided
-FIFE_SF30_BRV_23.v1 Bowen Ratio Surface Flux: UNL (FIFE) ORNL_DAAC 1987-05-28 1987-10-17 -96.61, 38.98, -96.45, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C179003347-ORNL_DAAC.json Latent & sensible heat flux by Bowen Ratio & aerodynamic characterization of vegetation not-provided
-FIFE_SODAR_18.v1 Boundary Layer Heights: SODAR (FIFE) ORNL_DAAC 1987-05-26 1987-08-22 -96.56, 39.08, -96.56, 39.08 https://cmr.earthdata.nasa.gov/search/concepts/C179003015-ORNL_DAAC.json Inversion heights as measured using a Sodar by R.L. Coulter & M.L. Wesely not-provided
+FIFE_NOAA_SUR_58.v1 NOAA Regional Surface Data (FIFE) ORNL_DAAC 1985-07-02 1988-10-23 -97, 39, -95, 40 https://cmr.earthdata.nasa.gov/search/concepts/C179002772-ORNL_DAAC.json Hourly surface weather reports collected by NESDIS for stations near FIFE not-provided
+FIFE_WIND_LID_138.v1 Wind Profile Data: LIDAR - NOAA (FIFE) ORNL_DAAC 1987-06-24 1987-07-11 -96.54, 39.07, -96.54, 39.07 https://cmr.earthdata.nasa.gov/search/concepts/C179003279-ORNL_DAAC.json Wind profile data from NOAA LIDAR measurements not-provided
+Forested_Areas_Amazonas_Brazil_1515.v1 LiDAR and DTM Data from Forested Land Near Manaus, Amazonas, Brazil, 2008 ORNL_DAAC 2008-06-07 2008-06-24 -60.22, -2.98, -59.76, -2.32 https://cmr.earthdata.nasa.gov/search/concepts/C1413152023-ORNL_DAAC.json This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the K34 tower site in the Cuieiras Biological Reserve, over forest inventory plots in the Adolpho Ducke Forest Reserve, and over sites of the Biological Dynamics of Forest Fragments Project (BDFFP) in Rio Preto da Eva municipality near Manaus, Amazonas, Brazil during June 2008. The surveys encompass the K34 eddy flux tower managed through the Large-scale Biosphere-Atmosphere Experiment in Amazonia, forest inventory plots managed by the Programa de Pesquisa em Biodiversidade (PPBio), and sites managed by the BDFFP. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time. not-provided
+Forested_Areas_Para_Brazil_1514.v1 LiDAR and DTM Data from Tapajos National Forest in Para, Brazil, 2008 ORNL_DAAC 2008-06-25 2008-07-04 -54.98, -3.06, -54.94, -2.85 https://cmr.earthdata.nasa.gov/search/concepts/C1413152020-ORNL_DAAC.json This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the Tapajos National Forest in Belterra municipality, Para, Brazil during late June and early July 2008. The surveys encompass the K67 and K83 eddy flux towers and a deforestation chronosequence managed through the Large-Scale Biosphere-Atmosphere Experiment in Amazonia providing long-term flux measurements of carbon dioxide. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time. not-provided
G02191.v1 AIDJEX Beaufort Sea Upward Looking Sonar April 1976, Version 1 NSIDCV0 1976-04-07 1976-04-10 -155, 70, -137, 76 https://cmr.earthdata.nasa.gov/search/concepts/C1386206523-NSIDCV0.json "This data contains Upward Looking Sonar (ULS) profiles of the underside of the Arctic pack ice along three transects whose total length is 777 nautical miles. The data were obtained by the USS Gurnard (SSN-662), a U.S. Navy submarine, on a traverse of the AIDJEX Main Experiment area in the Beaufort Sea from 07 April 1976 to 10 April 1976. The sea ice thickness derived from the ULS is given in feet. The data are in a single ASCII text file: Aidjex_04_1976_uls.txt. The data in this text file are not formatted into columns; all data are presented in one long row separated by spaces. Little is known about the format of the file, so caution should be used when working with the data. NSIDC is providing this data as part of our effort to preserve historical data. The data file begins with nine values that appear to be header information. These nine values include latitude and longitude values along with other unknown values. After the header, there are approximately 2100 measurements of what NSIDC believes is sea ice thickness in feet, however it is unclear how often these measurements were taken. After these 2100 values, another header of nine values occurs followed again by 2100 measurements. The file continues in this pattern through the remainder of the file. Users with information about the contents of the file are encouraged to contact NSIDC User Services. Two supporting documents that provide some background have been scanned and included as PDF files. These are AIDJEX_ULS_background.pdf and AIDJEX_ULS_format.pdf. These data are available via FTP. Note: These data are in a raw format with unknown fields and are being provided as is for preservation purposes. A processed version of the data are available in the Submarine Upward Looking Sonar Ice Draft Profile Data and Statistics data set." not-provided
G5NR.v1 GEOS-5 Nature Run data NCCS 2005-05-15 2007-06-16 -180, 90, 179.9375, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1634215803-NCCS.json This specific GEOS-5 model configuration used to perform a two-year global, non-hydrostatic mesoscale simulation for the period 2005-2007 at 7-km (3.5-km in the future) horizontal resolution. Because this simulation is intended to serve as a reference Nature Run for Observing System Simulation Experiments (OSSEs, e.g., Errico et al., 2012) it will be referred to as the 7-km GEOS-5 Nature Run or 7-km G5NR. This simulation has been performed with the Ganymed version of GEOS- 5, more specifically with CVS Tag wmp-Ganymed-4_0_BETA8. In addition to standard meteorological parameters (wind, temperature, moisture, surface pressure), this simulation includes 15 aerosol tracers (dust, sea-salt, sulfate, black and organic carbon), O3, CO and CO2. This model simulation is driven by prescribed sea-surface temperature and sea-ice, as well as surface emissions and uptake of aerosols and trace gases, including daily volcanic and biomass burning emissions, biogenic sources and sinks of CO2, and high-resolution inventories of anthropogenic sources.The simulation is performed at a horizontal resolution of 7 km using a cubed-sphere horizontal grid with 72 vertical levels, extending up to to 0.01 hPa (~ 80 km). For user convenience, all data products are generated on two logically rectangular longitude-latitude grids: a full-resolution 0.0625o grid that approximately matches the native cubed-sphere resolution, and another 0.5o reduced-resolution grid. The majority of the full-resolution data products are instantaneous with some fields being time-averaged. The reduced-resolution datasets are mostly time-averaged, with some fields being instantaneous. Hourly data intervals are used for the reduced-resolution datasets, while 30-minute intervals are used for the full-resolution products. All full-resolution output is on the model’s native 72-layer hybrid sigma-pressure vertical grid, while the reduced-resolution output is given on native vertical levels and on 48 pressure surfaces extending up to 0.02 hPa. Section 4 presents additional details on horizontal and vertical grids. not-provided
GE01_MSI_L1B.v1 GeoEye-1 Level 1B Multispectral 4-Band Satellite Imagery CSDA 2009-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2471470251-CSDA.json The GeoEye-1 Level 1B Multispectral 4-Band L1B Satellite Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The imagery has a spatial resolution of 1.84m at nadir (1.65m before summer 2013) and has a temporal resolution of approximately 3 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided
@@ -203,6 +214,10 @@ GGD632.v1 Active-Layer and Permafrost Temperatures, Soendre Stroemfjord, Greenla
GISS-CMIP5.v1 GISS ModelE2 contributions to the CMIP5 archive NCCS 0850-01-01 2100-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1542315069-NCCS.json We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980-2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics. not-provided
GMAO-CMIP5.v1 GMAO Decadal Analysis & Prediction for CMIP5 NCCS 1961-01-01 2019-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1542704969-NCCS.json Studies of change and variations on decadal timescales are essential for planning satellite missions that seek to improve our understanding of linkages among various components of the Earth System. Decadal predictions using a version of the GEOS-5 AOGCM were contributed to the CMIP5 project. The dataset include a three-member ensemble initialized on December 1 of each year from 1960 to 2010. These data are available, with the designation NASA GMAO, from the CMIP5 Archive at NASA NCCS. not-provided
GOMIGEO.v002 MISR Geometric Parameters subset for the GoMACCS region V002 LARC 2006-07-30 2006-10-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1625796320-LARC.json Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Geometric Parameters subset for the GoMACCS region V002 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid. not-provided
+Global_Litter_Carbon_Nutrients_1244.v1 A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients ORNL_CLOUD 1827-01-01 1997-12-31 -156.7, -54.5, 176.2, 72.5 https://cmr.earthdata.nasa.gov/search/concepts/C2784385713-ORNL_CLOUD.json Measurement data of aboveground litterfall and littermass and litter carbon, nitrogen, and nutrient concentrations were extracted from 685 original literature sources and compiled into a comprehensive database to support the analysis of global patterns of carbon and nutrients in litterfall and litter pools. Data are included from sources dating from 1827 to 1997. The reported data include the literature reference, general site information (description, latitude, longitude, and elevation), site climate data (mean annual temperature and precipitation), site vegetation characteristics (management, stand age, ecosystem and vegetation-type codes), annual quantities of litterfall (by class, kg m-2 yr-1), litter pool mass (by class and litter layer, kg m-2), and concentrations of nitrogen (N), phosphorus (P), and base cations for the litterfall (g m-2 yr-1) and litter pool components (g m-2). The investigators intent was to compile a comprehensive data set of individual direct field measurements as reported by researchers. While the primary emphasis was on acquiring C data, measurements of N, P, and base cations were also obtained, although the database is sparse for elements other than C and N. Each of the 1,497 records in the database represents a measurement site. Replicate measurements were averaged according to conventions described in Section 5 and recorded for each site in the database. The sites were at 575 different locations. not-provided
+Global_Microbial_Biomass_C_N_P_1264.v1 A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data ORNL_CLOUD 1977-11-16 2012-06-01 -180, -90, 177.9, 79 https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.json This data set provides the concentrations of soil microbial biomass carbon (C), nitrogen (N) and phosphorus (P), soil organic carbon, total nitrogen, and total phosphorus at biome and global scales. The data were compiled from a comprehensive survey of publications from the late 1970s to 2012 and include 3,422 data points from 315 papers. These data are from soil samples collected primarily at 0-15 cm depth with some from 0-30 cm. In addition, data were compiled for soil microbial biomass concentrations from soil profile samples to depths of 100 cm. Sampling site latitude and longitude were available for the majority of the samples that enabled assembling additional soil properties, site characteristics, vegetation distributions, biomes, and long-term climate data from several global sources of soil, land-cover, and climate data. These site attributes are included with the microbial biomass data. This data set contains two *.csv files of the soil microbial biomass C, N, P data. The first provides all compiled results emphasizing the full spatial extent of the data, while the second is a subset that provides only data from a series of profile samples emphasizing the vertical distribution of microbial biomass concentrations.There is a companion file, also in .csv format, of the references for the surveyed publications. A reference_number relates the data to the respective publication.The concentrations of soil microbial biomass, in combination with other soil databases, were used to estimate the global storage of soil microbial biomass C and N in 0-30 cm and 0-100 cm soil profiles. These storage estimates were combined with a spatial map of 12 major biomes (boreal forest, temperate coniferous forest, temperate broadleaf forest, tropical and subtropical forests, mixed forest, grassland, shrub, tundra, desert, natural wetland, cropland, and pasture) at 0.05-degree by 0.5-degree spatial resolution. The biome map and six estimates of C and N storage and C:N ration in soil microbial biomass are provided in a single netCDF format file. not-provided
+Global_Phosphorus_Hedley_Fract_1230.v1 A Global Database of Soil Phosphorus Compiled from Studies Using Hedley Fractionation ORNL_CLOUD 1985-01-01 2010-12-31 -117.86, -42.5, 117.6, 63.23 https://cmr.earthdata.nasa.gov/search/concepts/C2216863440-ORNL_CLOUD.json This data set provides concentrations of soil phosphorus (P) compiled from the peer-reviewed literature that cited the Hedley fractionation method (Hedley and Stewart, 1982). This database contains estimates of different forms of naturally occurring soil phosphorus, including labile inorganic P, organic P, occluded P, secondary mineral P, apatite P, and total P, based on the analyses of the various Hedley soil fractions.The recent literature survey (Yang and Post, 2011) was restricted to studies of natural, unfertilized, and uncultivated soils since 1995. Ninety measurements of soil P fractions were identified. These were added to the 88 values from soils in natural ecosystems that Cross and Schlesinger (1995) had compiled. Cross and Schlesinger provided a comprehensive survey on Hedley P data prior to 1995. Measurement data are provided for studies published from 1985 through 2010. In addition to the Hedley P fraction measurement data Yang and Post (2011) also compiled information on soil order, soil pH, organic carbon and nitrogen content, as well as the geographic location (longitude and latitude) of the measurement sites. not-provided
+Global_RTSG_Flux_1078.v1 A Global Database of Gas Fluxes from Soils after Rewetting or Thawing, Version 1.0 ORNL_CLOUD 1956-01-01 2009-12-31 -149.63, -36.45, 160.52, 74.5 https://cmr.earthdata.nasa.gov/search/concepts/C2216863284-ORNL_CLOUD.json This database contains information compiled from published studies on gas flux from soil following rewetting or thawing. The resulting database includes 222 field and laboratory observations focused on rewetting of dry soils, and 116 field laboratory observations focused on thawing of frozen soils studies conducted from 1956 to 2010. Fluxes of carbon dioxide, methane, nitrous oxide, nitrogen oxide, and ammonia (CO2, CH4, N2O, NO and NH3) were compiled from the literature and the flux rates were normalized for ease of comparison. Field observations of gas flux following rewetting of dry soils include events caused by natural rainfall, simulated rainfall in natural ecosystems, and irrigation in agricultural lands. Similarly, thawing of frozen soils include field observations of natural thawing, simulated freezing-thawing events (i.e., thawing of simulated frozen soil by snow removal), and thawing of seasonal ice in temperate and high latitude regions (Kim et al., 2012). Reported parameters include experiment type, location, site type, vegetation, climate, soil properties, rainfall, soil moisture, soil gas flux after wetting and thawing, peak soil gas flux properties, and the corresponding study references. There is one comma-delimited data file. not-provided
GreenBay.v0 2010 Measurements made in Green Bay, Wisconsin OB_DAAC 2010-09-17 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360352-OB_DAAC.json Measurements made in Green Bay, Wisconsin in 2010. not-provided
IKONOS_MSI_L1B.v1 IKONOS Level 1B Multispectral 4-Band Satellite Imagery CSDA 1999-10-14 2015-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497453433-CSDA.json The IKONOS Level 1B Multispectral 4-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the IKONOS satellite using the Optical Sensor Assembly instrument across the global land surface from October 1999 to March 2015. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The spatial resolution is 3.2m at nadir and the temporal resolution is approximately 3 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided
IKONOS_Pan_L1B.v1 IKONOS Level 1B Panchromatic Satellite Imagery CSDA 1999-10-24 2015-03-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497468825-CSDA.json The IKONOS Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the IKONOS satellite using the Optical Sensor Assembly instrument across the global land surface from October 1999 to March 2015. This data product includes panchromatic imagery with a spatial resolution of 0.82m at nadir and a temporal resolution of approximately 3 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided
@@ -222,12 +237,18 @@ KUKRI_He (U-Th)/He ages from the Kukri Hills of southern Victoria Land SCIOPS 19
L1B_Wind_Products Aeolus preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers ESA 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689596-ESA.json The Level 1B wind product of the Aeolus mission contains the preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers, which are generated in Near Real Time. Standard atmospheric correction (Rayleigh channel), receiver response and bias correction is applied. The product is generated within 3 hours after data acquisition. not-provided
L2B_Wind_Products Aeolus Scientific L2B Rayleigh/Mie wind product ESA 2020-04-20 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2119689544-ESA.json The Level 2B wind product of the Aeolus mission is a geo-located consolidated HLOS (horizontal line-of-sight) wind observation with actual atmospheric correction applied to Rayleigh channel. The product is generated by within 3 hours after data acquisition. not-provided
L2C_Wind_products Aeolus Level 2C assisted wind fields resulting from NWP Numerical Weather Prediction assimilation processing ESA 2020-07-09 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2619280864-ESA.json The Level 2C wind product of the Aeolus mission provides ECMWF analysis horizontal wind vectors at the geolocations of assimilated L2B HLOS wind components. The L2C can therefore be described as an Aeolus-assisted horizontal wind vector product. The L2C is a distinct product, however the L2C and L2B share a common Earth Explorer file template, with the L2C being a superset of the L2B. The L2C consists of extra datasets appended to the L2B product with information which are relevant to the data assimilation of the L2B winds. not-provided
+LAI_Woody_Plants_1231.v1 A Global Database of Field-observed Leaf Area Index in Woody Plant Species, 1932-2011 ORNL_CLOUD 1932-01-01 2011-12-31 -164.78, -54.2, 175.62, 78.42 https://cmr.earthdata.nasa.gov/search/concepts/C2784385653-ORNL_CLOUD.json This data set provides global leaf area index (LAI) values for woody species. The data are a compilation of field-observed data from 1,216 locations obtained from 554 literature sources published between 1932 and 2011. Only site-specific maximum LAI values were included from the sources; values affected by significant artificial treatments (e.g. continuous fertilization and/or irrigation) and LAI values that were low due to drought or disturbance (e.g. intensive thinning, wildfire, or disease), or because vegetation was immature or old/declining, were excluded (Lio et al., 2014). To maximize the generic applicability of the data, original LAI values from source literature and values standardized using the definition of half of total surface area (HSA) are included. Supporting information, such as geographical coordinates of plot, altitude, stand age, name of dominant species, plant functional types, and climate data are also provided in the data file. There is one data file in comma-separated (.csv) format with this data set and one companion file which provides the data sources. not-provided
LGB_10m_traverse.v1 10 m firn temperature data: LGB traverses 1990-95 AU_AADC 1989-11-01 1995-02-28 54, -77, 78, -69 https://cmr.earthdata.nasa.gov/search/concepts/C1214313574-AU_AADC.json The Lambert Glacier Basin (LGB) series of five oversnow traverses were conducted from 1989-95. Ten metre depth (10 m) firn temperatures, as a proxy indicator of annual mean surface temperature at a site, were recorded approximately every 30 km along the 2014 km main traverse route from LGB00 (68.6543 S, 61.1201 E) near Mawson Station, to LGB72 (69.9209 S, 76.4933 E) near Davis Station. 10 m depth firn temperatures were recorded manually in field notebooks and the data transferred to spreadsheet files (MS Excel). Summary data (30 km spatial resolution) can be obtained from CRC Research Note No.09 'Surface Mass Balance and Snow Surface Properties from the Lambert Glacier Basin Traverses 1990-94'. This work was completed as part of ASAC projects 3 and 2216. Some of this data have been stored in a very old format. The majority of files have been updated to current formats, but some files (kaleidograph files in particular) were not able to be modified due to a lack of appropriate software. However, these files are simply figures, and can be regenerated from the raw data (also provided). The fields in this dataset are: Latitutde Longitude Height Cane Distance Elevation Density Mass Accumulation Year Delta Oxygen-18 Grain Size Ice Crusts Depth Hoar not-provided
+Leaf_Carbon_Nutrients_1106.v1 A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves ORNL_CLOUD 1970-01-01 2009-12-31 -159.7, -50, 176.9, 68.5 https://cmr.earthdata.nasa.gov/search/concepts/C2784383820-ORNL_CLOUD.json This data set provides carbon (C), nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) concentrations in green and senesced leaves. Vegetation characteristics reported include species growth habit, leaf area, mass, and mass loss with senescence. The data were compiled from 86 selected studies in 31 countries, and resulted in approximately 1,000 data points for both green and senesced leaves from woody and non-woody vegetation as described in Vergutz et al (2012). The studies were conducted from 1970-2009. There are two comma-delimited data files with this data set. not-provided
+Leaf_Photosynthesis_Traits_1224.v1 A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area ORNL_CLOUD 1993-01-01 2010-12-31 -122.4, -43.2, 176.13, 58.42 https://cmr.earthdata.nasa.gov/search/concepts/C2784384781-ORNL_CLOUD.json This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate of electron transport (Jmax) are primary determinants of photosynthetic rates in plants, and modeled carbon fluxes are highly sensitive to these parameters. Previous studies have shown that Vcmax and Jmax correlate with leaf nitrogen across species and regions, and locally across species with leaf phosphorus and specific leaf area, yet no universal relationship suitable for global-scale models is currently available. These data are suitable for exploring the general relationships of Vcmax and Jmax with each other and with leaf N, P and SLA. This data set contains one *.csv file. not-provided
Level_2A_aerosol_cloud_optical_products Aeolus L2A Aerosol/Cloud optical product ESA 2021-05-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2207498185-ESA.json "The Level 2A aerosol/cloud optical products of the Aeolus mission include geo-located consolidated backscatter and extinction profiles, backscatter-to-extinction coefficient, LIDAR ratio, scene classification, heterogeneity index and attenuated backscatter signals. Resolution - Horizontal resolution of L2A optical properties at observation scale (~87 km); Exceptions are group properties (horizontal accumulation of measurements from ~3 km to ~87 km) and attenuated backscatters (~3 km); Note: the resolution of ""groups"" in the L2A can only go down to 5 measurements at the moment, i.e. ~15 km horizontal resolution. This could be configured to go to 1 measurement - Vertical resolution 250-2000 m (Defined by Range Bin Settings https://earth.esa.int/eogateway/instruments/aladin/overview-of-the-main-wind-rbs-changes)." not-provided
M1_AVH02C1.v6 METOP-B AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG LAADS 2013-01-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2751091676-LAADS.json The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg CMG, short-name M1_AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The M1_AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time). not-provided
M1_AVH09C1.v6 METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG LAADS 2013-01-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2187507677-LAADS.json The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG, short-name M1_ AVH09C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The M1_ AVH09C1 consist of BRDF-corrected surface reflectance for bands 1, 2, and 3, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), and thermal data (thermal bands 3, 4, and 5). The AVH09C1 product is available in HDF4 file format. not-provided
M1_AVH13C1.v6 METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG LAADS 2013-01-16 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2751635237-LAADS.json The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index (NDVI) Daily L3 Global 0.05 Deg CMG, short-name M1_AVH13C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (M1_AVH01C1). The M1_AVH13C1 product is available in HDF4 file format. not-provided
MASL1B.v1 MODIS Airborne Simulator (MAS) Calibrated, Geolocated Radiances L1B 50m Data LAADS 1993-01-11 2007-08-10 -180, -35, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2799350215-LAADS.json The Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (MAS) sensor was developed for NASA's high-altitude ER-2 research aircraft by Daedalus Enterprises, Inc., in support of the MODIS remote sensing algorithm development. The overall goal was to modify the spectral coverage and gains of the MAS to emulate as many of the MODIS spectral channels as possible. With its much higher spatial resolution (50 m vs. 250-1000 m for MODIS), MAS is able to provide unique information on the small-scale distribution of various geophysical parameters. The MAS instrument has been deployed on multiple platforms for many field campaigns since its first mission in 1991, as the prototype Wildfire Spectrometer. For more information and for a list of MAS campaign flights visit ladsweb at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/ not-provided
+MASTER_HyspIRI_Summer_2017_1950.v1 MASTER: HyspIRI Airborne Campaign, California, Summer 2017 ORNL_DAAC 2017-06-07 2017-06-28 -123.75, 31.95, -112.5, 40.98 https://cmr.earthdata.nasa.gov/search/concepts/C2275434743-ORNL_DAAC.json This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The spectral data were collected as part of the Hyperspectral Infrared Imager (HyspIRI) airborne campaign during 9 flights aboard a NASA ER-2 aircraft over southern California and western Nevada, U.S., from 2017-06-07 to 2017-06-28. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file. not-provided
+MASTER_SARP_2016_1912.v1.2 MASTER: Student Airborne Research Program (SARP) campaign, California, USA, 2016 ORNL_DAAC 2016-06-17 2016-06-18 -120.88, 33.56, -118.33, 35.85 https://cmr.earthdata.nasa.gov/search/concepts/C2096395033-ORNL_DAAC.json This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument collected and developed by the Student Airborne Research Program (SARP). The spectral data were collected from flights flown on 2016-06-17 in a NASA ER-2 aircraft over Santa Barbara, California. SARP was an eight-week summer program for junior and senior undergraduate students to acquire hands-on research experience in all aspects of a scientific campaign using airborne science laboratories. The SARP 2016 deployment included one flight with 5 flight tracks. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file. not-provided
+MASTER_SARP_2018_1946.v1 MASTER: Student Airborne Research Program (SARP) campaign, California, 2018 ORNL_DAAC 2018-06-20 2018-06-28 -120.48, 33.75, -118.85, 34.87 https://cmr.earthdata.nasa.gov/search/concepts/C2275424125-ORNL_DAAC.json This dataset includes Level 1B (L1B) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument collected and developed by the Student Airborne Research Program (SARP). The spectral data were collected from flights flown on 2018-06-20 to 2018-06-28 over the Channel Islands and coastline near Santa Barbara, California, U.S., in a NASA ER-2 aircraft. SARP was an eight-week summer program for junior and senior undergraduate students to acquire hands-on research experience in all aspects of a scientific campaign using airborne science laboratories. The SARP 2018 deployment included two flights with 13 flight tracks. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution, and the L1B file format is HDF-4. In addition, the dataset includes flight paths, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file. not-provided
MCD06COSP_D3_MODIS.v6.2 MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid LAADS 2002-07-04 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2263893831-LAADS.json The combined MODIS (Aqua/Terra) Cloud Properties Level 3 daily, 1x1 degree grid product represents a new addition that is especially geared to facilitate climate scientists who deal with both models and observations. MCD06COSP_D3_MODIS represents the daily product’s short-name. The “COSP” acronym in its short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. This product is an aggregation of combined MODIS Level-2 inputs from both the Terra and Aqua incarnations (MOD35/MOD06 and MYD35/MYD06, respectively), and employs an aggregation methodology consistent with the MOD08 and MYD08 products. Provided in netCDF4 format, it contains 23 aggregated science data sets (SDS/parameters). The Collection 6.2 (C6.2) is an improved version from the previous version (C6.1) because a number of bugs detected in Collection 6.1 are fixed. not-provided
MCD06COSP_M3_MODIS.v6.2 MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid LAADS 2002-07-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2263894888-LAADS.json The combined MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid product represents a new addition that is especially geared to facilitate climate scientists who deal with both models and observations. MCD06COSP_D3_MODIS represents the daily product’s short-name. The “COSP” acronym in its short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. The L3 monthly product is derived by aggregating the daily-produced Aqua+Terra/MODIS D3 Cloud Properties product (MCD06COSP_D3_MODIS). Provided in netCDF4 format, it contains 23 aggregated science data sets (SDS/parameters). The Collection 6.2 (C6.2) is an improved version from the previous version (C6.1) because a number of bugs detected in Collection 6.1 are fixed. not-provided
MCD14DL_C5_NRT.v005 MODIS/Aqua+Terra Thermal Anomalies/Fire locations 1km FIRMS V005 NRT LM_FIRMS 2014-01-28 -180, -80, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C1219768065-LM_FIRMS.json Near Real-Time (NRT) MODIS Thermal Anomalies / Fire locations processed by FIRMS (Fire Information for Resource Management System) - Land Atmosphere Near real time Capability for EOS (LANCE), using swath products (MOD14/MYD14) rather than the tiled MOD14A1 and MYD14A1 products. The thermal anomalies / active fire represent the center of a 1km pixel that is flagged by the MODIS MOD14/MYD14 Fire and Thermal Anomalies algorithm (Giglio 2003) as containing one or more fires within the pixel. This is the most basic fire product in which active fires and other thermal anomalies, such as volcanoes, are identified.MCD14DL are available in the following formats: TXT, SHP, KML, WMS. These data are also provided through the FIRMS Fire Email Alerts. Please note only the TXT and SHP files contain all the attributes. not-provided
@@ -277,16 +298,6 @@ OMICOL3NRT.v3 Ozone Monitoring Instrument Near Real Time Data for v3 OMINRT 1970
OMSO2.v003 OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT OMINRT 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.json The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004 (1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly available from NASA GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the retrieval algorithm. It also contains quality flags, geolocation and other ancillary information. The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu). OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php ) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/. For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below. http://disc.sci.gsfc.nasa.gov/Aura/ http://disc.gsfc.nasa.gov/acdisc/ not-provided
OMTO3.v003 OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT OMINRT 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.json The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA for the public access. The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ . not-provided
OMTO3e.v003 OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT OMINRT 2004-07-15 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.json The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) . not-provided
-PACE_HARP2_L0.v1 PACE HARP2 Level-0 Instrument Telemetry/Multi-Detector Data, 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798249-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
-PACE_HARP2_L0_D1.v1 PACE HARP2 Level-0 Detector 1 (D1) Data, 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798238-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
-PACE_HARP2_L0_D2.v1 PACE HARP2 Level-0 Detector 2 (D2) Data, 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798239-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
-PACE_HARP2_L0_D3.v1 PACE HARP2 Level-0 Detector 3 (D3) Data, 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798240-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
-PACE_HARP2_L0_REAL.v1 PACE HARP2 Level-0 Real-time Direct Transfer Mode Data, 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798243-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
-PACE_HARP2_L0_SCI.v1 PACE HARP2 Level-0 Science Data, 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2804798245-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
-PACE_HARP2_L1A_AST0.v1 PACE HARP2 Level-1A Acquisition Scheme Type 0 - Full-Resolution Data, version 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2841266759-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
-PACE_HARP2_L1A_AST1.v1 PACE HARP2 Level-1A Acquisition Scheme Type 1 - Half-Resolution Data, version 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2841266768-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
-PACE_HARP2_L1A_AST2.v1 PACE HARP2 Level-1A Acquisition Scheme Type 2 - Science Mode (no MTDI) Data, version 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2841266778-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
-PACE_HARP2_L1A_AST3.v1 PACE HARP2 Level-1A Acquisition Scheme Type 3 Data, version 1 OB_CLOUD 2024-03-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2841266786-OB_CLOUD.json The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape. not-provided
PM1EPHND_NRT.v6.1NRT MODIS/Aqua 24-hour Spacecraft ephemeris/orbit data files to be read via SDP Toolkit Binary Format - NRT LANCEMODIS 2017-10-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1426395235-LANCEMODIS.json PM1EPHND is the Aqua Near Real Time (NRT) daily spacecraft definitive ephemeris data file in native format. This is MODIS Ancillary Data. The data collection consists of PM1 Platform Attitude Data that has been preprocessed by ECS to an internal standard supported by the ECS SDP Toolkit. This data is typically used in determining the geolocation of earth remote sensing observations.The file name format is the following: PM1EPHND_NRT.Ayyyyddd.hhmm.vvv where from left to right: PM1 = PM1 (Aqua); EPH = Spacecraft Ephemeris; N = Native format; D = Definitive; A = Acquisition; yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID. not-provided
PSScene3Band.v1 PlanetScope Satellite Imagery 3 Band Scene CSDA 2014-06-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2112982481-CSDA.json The Planet Scope 3 band collection contains satellite imagery obtained from Planet Labs, Inc by the Commercial Smallsat Data Acquisition (CSDA) Program. This satellite imagery is in the visible waveband range with data in the red, green, and blue wavelengths. These data are collected by Planets Dove, Super Dove, and Blue Super Dove instruments collected from across the global land surface from June 2014 to present. Data have a spatial resolution of 3.7 meters at nadir and provided in GeoTIFF format. Data access are restricted to US Government funded investigators approved by the CSDA Program. not-provided
QB02_MSI_L1B.v1 QuickBird Level 1B Multispectral 4-Band Satellite Imagery CSDA 2001-10-18 2015-01-27 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497489665-CSDA.json The QuickBird Level 1B Multispectral 4-Band Imagery collection contains satellite imagery acquired from Maxar Technologies by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe QuickBird-2 satellite using the Ball High Resolution Camera 60 across the global land surface from October 2001 to January 2015. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The spatial resolution is 2.16m at nadir and the temporal resolution is 2.5 to 5.6 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided
@@ -324,6 +335,7 @@ WV02_MSI_L1B.v1 WorldView-2 Level 1B Multispectral 8-Band Satellite Imagery CSDA
WV02_Pan_L1B.v1 WorldView-2 Level 1B Panchromatic Satellite Imagery CSDA 2009-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497398128-CSDA.json The WorldView-2 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided
WaterBalance_Daily_Historical_GRIDMET.v1.5 Daily Historical Water Balance Products for the CONUS LPCLOUD 1980-01-01 2021-12-31 -131.70607, 21.115301, -60.530453, 55.457306 https://cmr.earthdata.nasa.gov/search/concepts/C2674694066-LPCLOUD.json This dataset provides daily historical Water Balance Model outputs from a Thornthwaite-type, single bucket model. Climate inputs to the model are from GridMet daily temperature and precipitation for the Continental United States (CONUS). The Water Balance Model output variables include the following: Potential Evapotranspiration (PET, mm), Actual Evapotranspiration (AET, mm), Moisture Deficit (Deficit, mm), Soil Water (soilwater, mm), Runoff (mm), Rain (mm), and Accumulated Snow Water Equivalent (accumswe, mm). The dataset covers the period from January 1 to December 31 for years 1980 through 2021 for the CONUS. Water Balance Model variables are provided as individual files, by variable and year, at a 1 km x 1 km spatial resolution and a daily temporal resolution. Data are in a North America Lambert Conformal Conic projection and are distributed in a standardized Climate and Forecast (CF)-compliant NetCDF file format. not-provided
a-numerical-solver-for-heat-and-mass-transport-in-snow-based-on-fenics.v1.0 A numerical solver for heat and mass transport in snow based on FEniCS ENVIDAT 2022-01-01 2022-01-01 9.8472494, 46.812044, 9.8472494, 46.812044 https://cmr.earthdata.nasa.gov/search/concepts/C2789814662-ENVIDAT.json This python code uses the Finite Element library FEniCS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format. The dataset contains the code and the output data to reproduce the key Figure 5 from the related publication: _Schürholt, K., Kowalski, J., Löwe, H.; Elements of future snowpack modeling - Part 1: A physical instability arising from the non-linear coupling of transport and phase changes, The Cryosphere, 2022_ The code and potential updates can be accessed directly through git via: https://gitlabext.wsl.ch/snow-physics/snowmodel_fenics not-provided
+a6efcb0868664248b9cb212aba44313d ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from MERIS (ALAMO algorithm), Version 2.2 FEDEO 2008-01-01 2008-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2548142742-FEDEO.json The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 2 aerosol products from MERIS for 2008, using the ALAMO algorithm, version 2.2. The data have been provided by Hygeos.For further details about these data products please see the linked documentation. not-provided
aamhcpex.v1 AAMH CPEX GHRC_DAAC 2017-05-26 2017-07-16 154.716, 0.6408, -19.5629, 44.9689 https://cmr.earthdata.nasa.gov/search/concepts/C2645106424-GHRC_DAAC.json The AAMH CPEX dataset contains products obtained from the MetOp-A, MetOp-B, NOAA-18, and NOAA-19 satellites. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May to 25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May to 24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 26, 2017, through July 15, 2017, and are available in netCDF-4 format. not-provided
above-and-below-ground-herbivore-communities-along-elevation.v1.0 Above- and below-ground herbivore communities along elevation ENVIDAT 2020-01-01 2020-01-01 5.95587, 45.81802, 10.49203, 47.80838 https://cmr.earthdata.nasa.gov/search/concepts/C2789814648-ENVIDAT.json Despite the common role of above- and below-ground herbivore communities in mediating ecosystem functioning, our understanding of the variation of species communities along natural gradient is largely strongly biased toward aboveground organisms. This dataset enables to study the variations in assemblages of two dominant groups of herbivores, namely, aboveground orthoptera and belowground nematodes together with their food plants. Herbivores and plant surveys were conducted in 48 natural grasslands along six elevation gradients, selected to span the major macro-climatic and environmental conditions of the Swiss Alps. It compiles herbivores and plant surveys, information on the study sites as well as plant and herbivores functional traits sought to be involved in trophic interactions and to respond to climatic variation along the elevation. Plant functional traits considered are the SLA, the LDMC, the C/N content, the punch strength (i.e. force required to pierce the leave lamina), the mandibular strength for Orthoptera insect. Data were collected during the summer 2016 and 2017. not-provided
aces1am.v1 ACES Aircraft and Mechanical Data GHRC_DAAC 2002-07-10 2002-08-30 -85, 23, -81, 26 https://cmr.earthdata.nasa.gov/search/concepts/C1977826980-GHRC_DAAC.json The ACES Aircraft and Mechanical Data consist of aircraft (e.g. pitch, roll, yaw) and mechanical (e.g. aircraft engine speed, tail commands, fuel levels) data recorded by the Altus II Unmanned Aerial Vehicle (Altus II UAV) system during the Altus Cumulus Electrification Study (ACES) based at the Naval Air Facility Key West in Florida. ACES aimed to provide extensive observations of the cloud electrification process and its effects by using the Altus II UAV to collect cloud top observations of thunderstorms. The campaign also worked to validate satellite lightning measurements. The Altus II aircraft and mechanical data files are available from July 10 through August 30, 2002 in MATLAB data format (.mat). not-provided
@@ -341,13 +353,17 @@ amsua15sp.v1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-15 V1 G
amsua16sp.v1 ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-16 V1 GHRC_DAAC 2001-05-27 2009-07-30 -180, -89.91, 180, 89.73 https://cmr.earthdata.nasa.gov/search/concepts/C1979956366-GHRC_DAAC.json AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). Launched on 21 September 2000, NOAA-16 is in a sun synchronous near polar orbit. not-provided
asas Advanced Solid-state Array Spectroradiometer (ASAS) USGS_LTA 1988-06-26 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220566261-USGS_LTA.json The Advanced Solid-state Array Spectroradiometer (ASAS) data collection contains data collected by the ASAS sensor flown aboard NASA aircraft. A fundamental use of ASAS data is to characterize and understand the directional variability in solar energy scattered by various land surface cover types (e.g.,crops, forests, prairie grass, snow, or bare soil). The sensor's Bidirectional Reflectance Distribution Function determines the variation in the reflectance of a surface as a function of both the view zenith angle and solar illumination angle. The ASAS sensor is a hyperspectral, multiangle, airborne remote sensing instrument maintained and operated by the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center in Greenbelt, Maryland. The ASAS instrument is mounted on the underside of either NASA C-130 or NASA P-3 aircraft and is capable of off-nadir pointing from approximately 70 degrees forward to 55 degrees aft along the direction of flight. The aircraft is flown at an altitude of 5000 - 6000 meters (approximately 16,000 - 20,000 ft.). Data in the ASAS collection primarily cover areas over the continental United States, but some ASAS data are also available over areas in Canada and western Africa. The ASAS data were collected between 1988 and 1994. not-provided
aster_global_dem ASTER Global DEM USGS_LTA 1970-01-01 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1220567908-USGS_LTA.json ASTER is capable of collecting in-track stereo using nadir- and aft-looking near infrared cameras. Since 2001, these stereo pairs have been used to produce single-scene (60- x 60-kilomenter (km)) digital elevation models (DEM) having vertical (root-mean-squared-error) accuracies generally between 10- and 25-meters (m). The methodology used by Japan's Sensor Information Laboratory Corporation (SILC) to produce the ASTER GDEM involves automated processing of the entire ASTER Level-1A archive. Stereo-correlation is used to produce over one million individual scene-based ASTER DEMs, to which cloud masking is applied to remove cloudy pixels. All cloud-screened DEMS are stacked and residual bad values and outliers are removed. Selected data are averaged to create final pixel values, and residual anomalies are corrected before partitioning the data into 1 degree (°) x 1° tiles. The ASTER GDEM covers land surfaces between 83°N and 83°S and is comprised of 22,702 tiles. Tiles that contain at least 0.01% land area are included. The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude). The data are posted on a 1 arc-second (approximately 30–m at the equator) grid and referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) geoid. not-provided
+b673f41b-d934-49e4-af6b-44bbdf164367 AVHRR - Land Surface Temperature (LST) - Europe, Daytime FEDEO 1998-02-23 -24, 28, 57, 78 https://cmr.earthdata.nasa.gov/search/concepts/C2207458008-FEDEO.json "The ""Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)"" is a fixed grid map (in stereographic projection ) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between –39.5°C and +87°C with a radiometric resolution of 0.5°C. A value of –40°C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/" not-provided
blue_ice_core_DML2004_AS 101.1 m long horizontal blue ice core collected from Scharffenbergbotnen, DML, Antarctica, in 2003/2004 SCIOPS 1970-01-01 -180, -90, 180, -62.83 https://cmr.earthdata.nasa.gov/search/concepts/C1214614210-SCIOPS.json Horizontal blue ice core collected from the surface of a blue ice area in Scharffenbergbotnen, Heimefrontfjella, DML. Samples were collected in austral summer 2003/2004 and transported to Finland for chemical analyses. The blue ice core is estimated to represent a 1000-year period of climate history 20 - 40 kyr B.P.. The results of the analyses will be available in 2005. not-provided
ch2014.v1 Alpine3D simulations of future climate scenarios CH2014 ENVIDAT 2014-01-01 2014-01-01 8.227, 46.79959, 8.227, 46.79959 https://cmr.earthdata.nasa.gov/search/concepts/C2789814657-ENVIDAT.json # Overview The CH2014-Impacts initiative is a concerted national effort to describe impacts of climate change in Switzerland quantitatively, drawing on the scientific resources available in Switzerland today. The initiative links the recently developed Swiss Climate Change Scenarios CH2011 with an evolving base of quantitative impact models. The use of a common climate data set across disciplines and research groups sets a high standard of consistency and comparability of results. Impact studies explore the wide range of climatic changes in temperature and precipitation projected in CH2011 for the 21st century, which vary with the assumed global level of greenhouse gases, the time horizon, the underlying climate model, and the geographical region within Switzerland. The differences among climate projections are considered using three greenhouse gas scenarios, three future time periods in the 21st century, and three climate uncertainty levels (Figure 1). Impacts are shown with respect to the reference period 1980-2009 of CH2011, and add to any impacts that have already emerged as a result of earlier climate change. # Experimental Setup Future snow cover changes are simulated with the physics-based model Alpine3D (Lehning et al., 2006). It is applied to two regions: The canton of Graubünden and the Aare catchment. These domains are modeled with a Digital Elevation Model (DEM) with a resolution of 200 m × 200 m. This defines the simulation grid that has to be filled with land cover data and downscaled meteorological input data for each cell for the time period of interest at hourly resolution. The reference data set consists of automatic weather station data. All meteorological input parameters are spatially interpolated to the simulation grid. The reference period comprises only thirteen years (1999–2012), because the number of available high elevation weather stations for earlier times is not sufficient to achieve unbiased distribution of the observations with elevation. The model uses projected temperature and precipitation changes for all greenhouse gas scenarios (A1B, A2, and RCP3PD) and CH2011 time periods (2035, 2060, and 2085). # Data Snow cover changes are projected to be relatively small in the near term (2035) (Figure 5.1 top), in particular at higher elevations above 2000 m asl. As shown by Bavay et al. (2013) the spread in projected snow cover for this period is greater between different climate model chains (Chapter 3) than between the reference period and the model chain exhibiting the most moderate change. In the 2085 period much larger changes with the potential to fundamentally transform the snow dominated alpine area become apparent (Figure 5.1 bottom). These changes include a shortening of the snow season by 5–9 weeks for the A1B scenario. This is roughly equivalent to an elevation shift of 400–800 m. The slight increase of winter precipitation and therefore snow fall projected in the CH2011 scenarios (with high associated uncertainty) can no longer compensate for the effect of increasing winter temperatures even at high elevations. In terms of Snow Water Equivalents (SWE), the projected reduction is up to two thirds toward the end of the century (2085). A continuous snow cover will be restricted to a shorter time period and/or to regions at increasingly high elevation. In Bern, for example, the number of days per year with at least 5 cm snow depth will decrease by 90% from now 20 days to only 2 days on average. not-provided
chesapeake_val_2013.v0 2013 Chesapeake Bay measurements OB_DAAC 2013-04-11 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1633360188-OB_DAAC.json 2013 Chesapeake Bay measurements. not-provided
darling_sst_82-93 1982-1989 and 1993 Seawater Temperatures at the Darling Marine Center SCIOPS 1982-03-01 1993-12-31 -71.31, 42.85, -66.74, 47.67 https://cmr.earthdata.nasa.gov/search/concepts/C1214621676-SCIOPS.json Seawater Surface Temperature Data Collected between the years 1982-1989 and 1993 off the dock at the Darling Marine Center, Walpole, Maine not-provided
eMASL1B.v1 Enhanced MODIS Airborne Simulator (eMAS) Calibrated, Geolocated Radiances L1B 50m Data LAADS 2013-08-01 2019-08-22 -180, -35, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2801308027-LAADS.json The Enhanced Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (eMAS)instrument is maintained and operated by the Airborne Sensor Facility at NASA Ames Research Center in Mountain View, California, under the oversight of the EOS Project Science Office at NASA Goddard. Prior to 1995, the MAS was deployed on the NASA's ER-2 and C-130 aircraft platforms using a 12-channel, 8-bit data system that somewhat constrained the full benefit of having a 50-channel scanning spectrometer. Beginning in January 1995, a 50-channel, 16-bit digitizer was used on the ER-2 platform, which greatly enhanced the capability of MAS to simulate MODIS data over a wide range of environmental conditions. Recently, it has undergone extensive upgrades to the optics and other components. New detectors have been installed and the spectral bands have been streamlined. The eMAS instrument is now a 38-channel instrument, sensing in the range from 0.445 to 13.844 um. For more information and for a list of MAS campaign flights visit ladsweb at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/ or, visit the eMAS Homepage at: https://asapdata.arc.nasa.gov/emas/ not-provided
eMASL2CLD.v1 Enhanced MODIS Airborne Simulator (eMAS) L2 Cloud Data LAADS 2013-08-01 2016-09-28 -180, -35, 180, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2801723593-LAADS.json The Enhanced Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (eMAS)instrument is maintained and operated by the Airborne Sensor Facility at NASA Ames Research Center in Mountain View, California, under the oversight of the EOS Project Science Office at NASA Goddard. The eMAS instrument is now a 38-channel instrument, sensing in the range from 0.445 to 13.844 um. The Enhanced MODIS Airborne Simulator (eMAS) L2 Cloud Data product (eMASL2CLD) consists of cloud optical and physical parameters. These parameters are derived using remotely sensed infrared and near infrared solar reflected radiances. Multispectral images of the reflectance and brightness temperature at 10 wavelengths between 0.66 and 13.98nm were used to derive the probability of clear sky (or cloud), cloud thermodynamic phase, and the optical thickness and effective radius of liquid water and ice clouds. The eMASL2CLD product files are stored in Hierarchical Data Format (HDF-EOS). All gridded cloud parameters are stored as Scientific Data Sets (SDS) within the file. For more information and for a list of MAS campaign flights visit ladsweb at: https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/ or, visit the eMAS Homepage at: https://asapdata.arc.nasa.gov/emas/ not-provided
+ef6a9266-a210-4431-a4af-06cec4274726 Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Monographic FEDEO 2015-02-10 -25, 30, 45, 80 https://cmr.earthdata.nasa.gov/search/concepts/C2207457985-FEDEO.json Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing. However, this collection contains the monoscopic data. not-provided
envidat-lwf-34.v2019-03-06 10-HS Pfynwald ENVIDAT 2019-01-01 2019-01-01 7.61211, 46.30279, 7.61211, 46.30279 https://cmr.earthdata.nasa.gov/search/concepts/C2789815241-ENVIDAT.json Continuous measurement of soil water content at 10 and 80 cm depth (3 replications) with 10-HS soil moisture probes (Decagon Incorporation, Pullman, WA, USA). ### Purpose: ### Monitoring of the soil water matrix potential ### Paper Citation: ### * Dobbertin, M.; Eilmann, B.; Bleuler, P.; Giuggiola, A.; Graf Pannatier, E.; Landolt, W.; Schleppi, P.; Rigling, A., 2010: Effect of irrigation on needle morphology, shoot and stem growth in a drought-exposed Pinus sylvestris forest. Tree Physiology, 30, 3: 346-360. [doi: 10.1093/treephys/tpp123](http://doi.org/10.1093/treephys/tpp123) not-provided
+fife_hydrology_strm_15m_1.v1 15 Minute Stream Flow Data: USGS (FIFE) ORNL_CLOUD 1984-12-25 1988-03-04 -96.6, 39.1, -96.6, 39.1 https://cmr.earthdata.nasa.gov/search/concepts/C2977827088-ORNL_CLOUD.json USGS 15 minute stream flow data for Kings Creek on the Konza Prairie not-provided
+fife_sur_met_rain_30m_2.v1 30 Minute Rainfall Data (FIFE) ORNL_CLOUD 1987-05-29 1987-10-26 -96.6, 39.08, -96.55, 39.11 https://cmr.earthdata.nasa.gov/search/concepts/C2977893818-ORNL_CLOUD.json 30 minute rainfall data for the Konza Prairie not-provided
gov.noaa.nodc:0000029 1990, 1991, 1992 and 1995 CRETM/LMER Zooplankton Data Sets (NCEI Accession 0000029) NOAA_NCEI 1990-09-26 1995-05-26 -124.041667, 0.766667, -16.25, 46.263167 https://cmr.earthdata.nasa.gov/search/concepts/C2089372282-NOAA_NCEI.json Not provided not-provided
gov.noaa.nodc:0000035 1996 - Early 1998 CRETM/LMER Phytoplankton Data (NCEI Accession 0000035) NOAA_NCEI 1996-07-09 1998-03-06 -124.003, 46.179833, -123.183167, 46.261667 https://cmr.earthdata.nasa.gov/search/concepts/C2089372325-NOAA_NCEI.json Pump cast sampling, and associated CTD casts took place from a fixed vessel during one 28-35 day cruise per year in 1990, 1991, 1992, 1995, and 1996. In 1997 there were 2 week cruises in May, July, and October. not-provided
gov.noaa.nodc:0000052 1988 Resurrection Bay Zooplankton Data Set from 01 March 1988 to 28 June 1988 (NCEI Accession 0000052) NOAA_NCEI 1988-03-01 1988-06-28 -149.4083, 59.9117, -149.3583, 60.02 https://cmr.earthdata.nasa.gov/search/concepts/C2089372461-NOAA_NCEI.json Zooplantkon and beach tar data were collected using plankton net casts in the Gulf of Alaska from the ALPHA HELIX. Data were collected from 01 March 1988 to 28 June 1988 by University of Alaska in Fairbanks; Institute of Marine Science with support from the Gulf of Alaska - 1 (GAK-1) project. not-provided
@@ -366,3 +382,4 @@ latent-reserves-in-the-swiss-nfi.v1.0 'Latent reserves' within the Swiss NFI ENV
law_dome_annual_msa.v1 150 year MSA sea ice proxy record from Law Dome, Antarctica AU_AADC 1841-01-01 1995-12-31 112.806946, -66.76972, 112.806946, -66.76972 https://cmr.earthdata.nasa.gov/search/concepts/C1214313532-AU_AADC.json "This MSA record (1841-1995) is from a Law Dome ice core called ""DSS"" in East Antarctica. It was calibrated against satellite sea ice records and used to reconstruct sea ice extent prior to the satellite era. The following is taken from the abstract of the paper (Curran et al., 2003). The instrumental record of Antarctic sea ice in recent decades does not reveal a clear signature of warming despite observational evidence from coastal Antarctica. This work shows a significant correlation (P less than 0.002) between methanesulphonic acid (MSA) concentrations from a Law Dome ice core and 22 years of satellite-derived sea ice extent (SIE) for the 80 degrees E to 140 degrees E sector. Applying this instrumental calibration to longer term MSA data (1841 to 1995 A.D.) suggests that there has been a 20% decline in SIE since about 1950. The decline is not uniform, showing large cyclical variations, with periods of about 11 years, that confuse trend detection over the relatively short satellite era. This work was completed as part of ASAC project 757 (ASAC_757)." not-provided
mbs_wilhelm_msa_hooh.v1 15 year Wilhelm II Land MSA and HOOH shallow ice core record from Mount Brown South (MBS) AU_AADC 1984-01-01 1998-12-31 86.082, -69.13, 86.084, -69.12 https://cmr.earthdata.nasa.gov/search/concepts/C1214313640-AU_AADC.json This work presents results from a short firn core spanning 15 years collected from near Mount Brown, Wilhelm II Land, East Antarctica. Variations of methanesulphonic acid (MSA) at Mount Brown were positively correlated with sea-ice extent from the coastal region surrounding Mount Brown (60-1208 E) and from around the entire Antarctic coast (0-3608 E). Previous results from Law Dome identified this MSA-sea-ice relationship and proposed it as an Antarctic sea-ice proxy (Curran and others, 2003), with the strongest results found for the local Law Dome region. Our data provide supporting evidence for the Law Dome proxy (at another site in East Antarctica), but a deeper Mount Brown ice core is required to confirm the sea-ice decline suggested by Curran and others (2003). Results also indicate that this deeper record may also provide a more circum-Antarctic sea-ice proxy. This work was completed as part of ASAC project 757 (ASAC_757). not-provided
pfynwaldgasexchange.v1.0 2013-2020 gas exchange at Pfynwald ENVIDAT 2021-01-01 2021-01-01 7.6105556, 46.3001905, 7.6163921, 46.3047564 https://cmr.earthdata.nasa.gov/search/concepts/C2789816347-ENVIDAT.json Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds. All metadata can be found in the attached documents. not-provided
+urn:ogc:def:EOP:VITO:VGT_S10.v1 10 Days Synthesis of SPOT VEGETATION Images (VGT-S10) FEDEO 1998-04-01 2014-05-31 -180, -56, 180, 75 https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.json The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3 not-provided